WeatherBlend

Multi-model forecast blending for Membury, East Devon

Rain models

Per-station P(wet ≥ 0.1 mm/h) — 3a (lean) + 3c (rich), Brier, lower better. Plus per-station rainfall amount (mm/h) — 3f distributional, CRPS, lower better. Δ vs best single NWP — negative = blend wins.

Precipitation — Chards Snowdon Hill

Phase 3c · v2026-06-15_165236_phase3c Δ -0.002 vs prev train

Rich P(wet) classifier, 101 features — rich surface (humidity/dew-depression/cloud/EA persistence) + the multi-level pressure (upper-air) block (850/700/500 hPa temps, heights, winds, RH850 across 4 exact NWPs, lead-matched by a leak-free backward ASOF). UA added in-place 2026-06-02 (−3.7%→−6.8% Brier across 24→72h). Trained 2026-06-15. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.071 precip_icon (0.136) -47.6%
+48h 0.081 precip_icon (0.135) -39.6%
+72h 0.091 precip_icon (0.164) -44.1%
+96h 0.097 precip_icon (0.186) -47.8%
+120h 0.102 precip_icon (0.226) -54.9%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +12h+24h+48h+72h+96h+120h
v2026-06-07_144138_phase3c
v2026-06-10_175508_phase3c
304 0.053
icon: 0.023
0.011
icon: 0.005
0.001
gfs: 0.000
0.001
gfs: 0.000
0.043
ukmo: 0.067
0.002
gfs: 0.000
v2026-05-31_210952_phase3c
v2026-06-07_144138_phase3c
v2026-06-10_175508_phase3c
600 0.002
gfs: 0.000
0.078
icon: 0.108
0.079
icon: 0.091
0.003
ecmwf: 0.000
0.115
gem: 0.182
0.172
icon: 0.200
v2026-05-31_210952_phase3c 646 0.103
icon: 0.197
0.133
icon: 0.207
0.113
icon: 0.178
0.116
gem: 0.193
0.228
icon: 0.167
v2026-05-31_210952_phase3c 504 0.118
icon: 0.220
0.152
icon: 0.230
0.117
icon: 0.204
0.119
gem: 0.197
0.366
icon: 0.274
v2026-05-26_102922_phase3c
v2026-05-31_210952_phase3c
458 0.099
icon: 0.146
0.134
jma: 0.095
0.115
ecmwf: 0.000
0.136
gfs: 0.179
0.158
jma: 0.247
v2026-05-24_142008_phase3c
v2026-05-26_102922_phase3c
376 0.019
mf: 0.019
0.017
ecmwf: 0.017
0.026
icon: 0.027
0.000
gfs: 0.000
0.024
icon: 0.023
v2026-05-17_174859_phase3c
v2026-05-24_142008_phase3c
v2026-05-26_102922_phase3c
724 0.000
icon: 0.000
0.000
icon: 0.000
0.000
gfs: 0.000
0.001
icon: 0.025
0.004
aifs: 0.000
v2026-05-17_174859_phase3c 592 0.051
mf: 0.091
0.034
ukmo: 0.073
0.014
ukmo: 0.033
0.005
gfs: 0.075
0.030
aifs: 0.000
v2026-05-11_200152_phase3c
v2026-05-17_174859_phase3c
568 0.138
mf: 0.269
0.142
icon: 0.281
0.216
gfs: 0.300
0.198
ukmo: 0.273
0.197
gfs: 0.248
v2026-05-11_200152_phase3c 472 0.098
icon: 0.180
0.104
icon: 0.182
0.007
icon: 0.025
0.004
ecmwf: 0.000
v2026-05-11_200152_phase3c 80 0.201
gfs: 0.200

Phase 3a · v2026-06-14_152008 Δ -0.005 vs prev train

Lean P(wet) classifier, 27 features. Trained 2026-06-14. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.075 precip_icon (0.138) -45.9%
+48h 0.084 precip_icon (0.136) -38.2%
+72h 0.094 precip_icon (0.167) -43.4%
+96h 0.100 precip_icon (0.189) -46.8%
+120h 0.106 precip_icon (0.228) -53.4%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_143956 560 0.054
icon: 0.059
0.057
icon: 0.063
0.050
mf: 0.067
0.049
gem: 0.072
0.002
gfs: 0.000
v2026-05-31_210814
v2026-06-07_143956
600 0.085
icon: 0.108
0.080
icon: 0.091
0.002
ecmwf: 0.000
0.119
gem: 0.182
0.156
icon: 0.200
v2026-05-31_210814 646 0.102
icon: 0.197
0.134
icon: 0.207
0.122
icon: 0.178
0.118
gem: 0.193
0.197
icon: 0.167
v2026-05-31_210814 504 0.117
icon: 0.220
0.150
icon: 0.230
0.126
icon: 0.204
0.115
gem: 0.197
0.304
icon: 0.274
v2026-05-26_102758
v2026-05-31_210814
458 0.102
icon: 0.146
0.143
jma: 0.095
0.106
ecmwf: 0.000
0.133
gfs: 0.179
0.162
jma: 0.247
v2026-05-24_141845
v2026-05-26_102758
376 0.019
mf: 0.019
0.017
ecmwf: 0.017
0.026
icon: 0.027
0.001
gfs: 0.000
0.025
icon: 0.023
v2026-05-17_174051
v2026-05-24_141845
v2026-05-26_102758
724 0.001
icon: 0.000
0.000
icon: 0.000
0.000
gfs: 0.000
0.006
icon: 0.025
0.010
aifs: 0.000
v2026-05-17_174051 592 0.049
mf: 0.091
0.036
mf: 0.083
0.020
mf: 0.036
0.019
gfs: 0.075
0.059
aifs: 0.000
v2026-05-11_194110
v2026-05-17_174051
640 0.128
mf: 0.269
0.141
icon: 0.281
0.222
gfs: 0.300
0.196
gfs: 0.366
0.200
gfs: 0.259
v2026-05-11_194110 544 0.099
icon: 0.171
0.124
icon: 0.203
0.018
icon: 0.038
0.005
icon: 0.000
0.004
gfs: 0.000
v2026-05-11_194110 124 0.174
aifs: 0.161
0.258
mf: 0.200

Precipitation — Goren

Phase 3c · v2026-06-15_165243_phase3c Δ -0.001 vs prev train

Rich P(wet) classifier, 101 features — rich surface (humidity/dew-depression/cloud/EA persistence) + the multi-level pressure (upper-air) block (850/700/500 hPa temps, heights, winds, RH850 across 4 exact NWPs, lead-matched by a leak-free backward ASOF). UA added in-place 2026-06-02 (−3.7%→−6.8% Brier across 24→72h). Trained 2026-06-15. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.081 precip_ukmo (0.152) -46.6%
+48h 0.090 precip_icon (0.143) -37.0%
+72h 0.101 precip_icon (0.167) -39.2%
+96h 0.107 precip_icon (0.196) -45.4%
+120h 0.114 precip_icon (0.235) -51.5%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +12h+24h+48h+72h+96h+120h
v2026-06-07_144213_phase3c
v2026-06-10_175544_phase3c
304 0.115
icon: 0.125
0.051
icon: 0.053
0.012
gfs: 0.012
0.001
gfs: 0.000
0.084
ukmo: 0.088
0.023
gfs: 0.023
v2026-05-31_211026_phase3c
v2026-06-07_144213_phase3c
v2026-06-10_175544_phase3c
600 0.075
mf: 0.000
0.090
icon: 0.124
0.089
icon: 0.114
0.084
gfs: 0.100
0.160
gem: 0.238
0.170
icon: 0.216
v2026-05-31_211026_phase3c 636 0.142
icon: 0.201
0.156
ukmo: 0.228
0.153
ukmo: 0.208
0.189
gem: 0.286
0.214
icon: 0.204
v2026-05-31_211026_phase3c 494 0.164
icon: 0.223
0.190
ukmo: 0.256
0.188
ukmo: 0.270
0.252
gem: 0.385
0.422
aifs: 0.250
v2026-05-26_102952_phase3c
v2026-05-31_211026_phase3c
464 0.142
icon: 0.194
0.144
ecmwf: 0.085
0.149
ecmwf: 0.000
0.138
gfs: 0.188
0.246
ecmwf: 0.224
v2026-05-24_142038_phase3c
v2026-05-26_102952_phase3c
366 0.038
mf: 0.038
0.034
ecmwf: 0.034
0.052
icon: 0.054
0.001
gfs: 0.000
0.044
icon: 0.045
v2026-05-17_174956_phase3c
v2026-05-24_142038_phase3c
v2026-05-26_102952_phase3c
708 0.000
icon: 0.000
0.000
icon: 0.000
0.000
gfs: 0.000
0.001
icon: 0.025
0.005
aifs: 0.000
v2026-05-17_174956_phase3c 584 0.045
mf: 0.091
0.033
ukmo: 0.067
0.014
mf: 0.030
0.004
gfs: 0.075
0.037
aifs: 0.000
v2026-05-11_201109_phase3c
v2026-05-17_174956_phase3c
560 0.113
icon: 0.257
0.104
icon: 0.271
0.193
gfs: 0.222
0.217
ukmo: 0.286
0.262
gfs: 0.352
v2026-05-11_201109_phase3c 472 0.116
icon: 0.197
0.111
gem: 0.191
0.007
icon: 0.025
0.014
ecmwf: 0.000
v2026-05-11_201109_phase3c 80 0.156
icon: 0.213

Phase 3a · v2026-06-14_152042 Δ -0.004 vs prev train

Lean P(wet) classifier, 27 features. Trained 2026-06-14. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.084 precip_gfs (0.170) -50.7%
+48h 0.093 precip_icon (0.144) -35.6%
+72h 0.101 precip_icon (0.169) -40.1%
+96h 0.114 precip_icon (0.199) -42.7%
+120h 0.117 precip_icon (0.237) -50.4%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_144030 560 0.100
icon: 0.129
0.097
gfs: 0.131
0.095
mf: 0.108
0.079
gfs: 0.108
0.023
gfs: 0.023
v2026-05-31_210847
v2026-06-07_144030
600 0.096
icon: 0.124
0.095
icon: 0.114
0.079
gfs: 0.100
0.163
gem: 0.238
0.164
icon: 0.216
v2026-05-31_210847 636 0.145
icon: 0.201
0.155
gfs: 0.246
0.156
mf: 0.264
0.194
gem: 0.286
0.208
icon: 0.204
v2026-05-31_210847 494 0.167
icon: 0.223
0.190
ecmwf: 0.294
0.189
mf: 0.316
0.252
gem: 0.385
0.388
aifs: 0.250
v2026-05-26_102826
v2026-05-31_210847
464 0.150
icon: 0.194
0.145
ecmwf: 0.085
0.083
ecmwf: 0.000
0.141
gfs: 0.188
0.218
ecmwf: 0.224
v2026-05-24_141913
v2026-05-26_102826
366 0.039
mf: 0.038
0.034
ecmwf: 0.034
0.050
icon: 0.054
0.002
gfs: 0.000
0.045
icon: 0.045
v2026-05-17_174147
v2026-05-24_141913
v2026-05-26_102826
708 0.001
icon: 0.000
0.002
icon: 0.000
0.001
gfs: 0.000
0.007
icon: 0.025
0.007
aifs: 0.000
v2026-05-17_174147 584 0.047
mf: 0.091
0.036
mf: 0.071
0.018
mf: 0.030
0.020
gfs: 0.075
0.042
aifs: 0.000
v2026-05-11_195050
v2026-05-17_174147
632 0.126
icon: 0.257
0.123
icon: 0.271
0.163
gfs: 0.222
0.215
gfs: 0.384
0.249
gfs: 0.350
v2026-05-11_195050 544 0.117
icon: 0.186
0.131
icon: 0.212
0.026
icon: 0.038
0.006
icon: 0.000
0.004
gfs: 0.000
v2026-05-11_195050 124 0.135
icon: 0.169
0.178
gfs: 0.200

Precipitation — Raymonds Hill

Phase 3c · v2026-06-15_165251_phase3c Δ -0.001 vs prev train

Rich P(wet) classifier, 101 features — rich surface (humidity/dew-depression/cloud/EA persistence) + the multi-level pressure (upper-air) block (850/700/500 hPa temps, heights, winds, RH850 across 4 exact NWPs, lead-matched by a leak-free backward ASOF). UA added in-place 2026-06-02 (−3.7%→−6.8% Brier across 24→72h). Trained 2026-06-15. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.076 precip_ukmo (0.149) -48.8%
+48h 0.085 precip_icon (0.139) -38.7%
+72h 0.095 precip_icon (0.161) -41.4%
+96h 0.103 precip_icon (0.187) -44.9%
+120h 0.109 precip_gfs (0.208) -47.3%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +12h+24h+48h+72h+96h+120h
v2026-06-07_144250_phase3c
v2026-06-10_175620_phase3c
304 0.097
icon: 0.109
0.024
gfs: 0.024
0.001
gfs: 0.000
0.001
gfs: 0.000
0.059
ukmo: 0.067
0.003
gfs: 0.000
v2026-05-31_211102_phase3c
v2026-06-07_144250_phase3c
v2026-06-10_175620_phase3c
600 0.008
gfs: 0.000
0.036
icon: 0.065
0.022
icon: 0.023
0.004
ecmwf: 0.000
0.120
gem: 0.188
0.138
ukmo: 0.188
v2026-05-31_211102_phase3c 634 0.102
icon: 0.156
0.123
ukmo: 0.197
0.120
ukmo: 0.164
0.161
gem: 0.250
0.198
icon: 0.183
v2026-05-31_211102_phase3c 492 0.115
icon: 0.171
0.145
ukmo: 0.214
0.136
mf: 0.220
0.199
gem: 0.308
0.361
aifs: 0.167
v2026-05-26_103024_phase3c
v2026-05-31_211102_phase3c
450 0.097
ukmo: 0.108
0.119
gfs: 0.110
0.110
ecmwf: 0.000
0.147
icon: 0.162
0.213
ecmwf: 0.234
v2026-05-24_142109_phase3c
v2026-05-26_103024_phase3c
376 0.019
mf: 0.019
0.017
ecmwf: 0.017
0.026
icon: 0.027
0.001
gfs: 0.000
0.022
icon: 0.023
v2026-05-17_175055_phase3c
v2026-05-24_142109_phase3c
v2026-05-26_103024_phase3c
716 0.000
icon: 0.000
0.000
icon: 0.000
0.000
gfs: 0.000
0.005
icon: 0.027
0.004
aifs: 0.000
v2026-05-17_175055_phase3c 574 0.050
mf: 0.092
0.029
ukmo: 0.065
0.023
ukmo: 0.040
0.017
gfs: 0.086
0.026
aifs: 0.000
v2026-05-11_201250_phase3c
v2026-05-17_175055_phase3c
560 0.110
mf: 0.257
0.100
icon: 0.271
0.190
gfs: 0.222
0.222
ukmo: 0.280
0.251
gfs: 0.320
v2026-05-11_201250_phase3c 472 0.103
icon: 0.174
0.100
icon: 0.188
0.008
icon: 0.025
0.006
ecmwf: 0.000
v2026-05-11_201250_phase3c 80 0.218
gfs: 0.200

Phase 3a · v2026-06-14_152116 Δ -0.006 vs prev train

Lean P(wet) classifier, 27 features. Trained 2026-06-14. Metric: Test Brier.

Lead Blend Best single Δ vs best
+24h 0.079 precip_icon (0.140) -43.6%
+48h 0.087 precip_icon (0.140) -38.0%
+72h 0.096 precip_icon (0.163) -41.5%
+96h 0.104 precip_icon (0.189) -44.8%
+120h 0.112 precip_gfs (0.210) -46.7%
Verify history (11 runs)

Mon + Thu rolling Brier. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_144104 560 0.074
icon: 0.098
0.080
icon: 0.086
0.093
mf: 0.092
0.056
gem: 0.093
0.003
gfs: 0.000
v2026-05-31_210920
v2026-06-07_144104
600 0.037
icon: 0.065
0.023
icon: 0.023
0.003
ecmwf: 0.000
0.123
gem: 0.188
0.142
icon: 0.196
v2026-05-31_210920 634 0.105
icon: 0.156
0.141
mf: 0.221
0.132
mf: 0.197
0.164
gem: 0.250
0.211
icon: 0.183
v2026-05-31_210920 492 0.121
icon: 0.171
0.169
mf: 0.269
0.146
mf: 0.220
0.198
gem: 0.308
0.372
aifs: 0.167
v2026-05-26_102854
v2026-05-31_210920
450 0.103
icon: 0.129
0.158
gfs: 0.110
0.134
ecmwf: 0.000
0.158
icon: 0.162
0.198
ecmwf: 0.234
v2026-05-24_141940
v2026-05-26_102854
376 0.019
mf: 0.019
0.017
ecmwf: 0.017
0.026
icon: 0.027
0.001
gfs: 0.000
0.022
icon: 0.023
v2026-05-17_174244
v2026-05-24_141940
v2026-05-26_102854
716 0.001
icon: 0.000
0.000
icon: 0.000
0.000
gfs: 0.000
0.004
icon: 0.027
0.008
aifs: 0.000
v2026-05-17_174244 574 0.048
mf: 0.092
0.032
mf: 0.070
0.025
mf: 0.044
0.017
gfs: 0.086
0.061
aifs: 0.000
v2026-05-11_195436
v2026-05-17_174244
632 0.101
mf: 0.257
0.116
icon: 0.271
0.150
gfs: 0.222
0.214
gfs: 0.377
0.251
gfs: 0.321
v2026-05-11_195436 544 0.107
icon: 0.165
0.109
icon: 0.203
0.018
icon: 0.035
0.005
icon: 0.000
0.002
gfs: 0.000
v2026-05-11_195436 124 0.200
aifs: 0.161
0.263
aifs: 0.200

Rainfall amount — Chards Snowdon Hill

Phase 3f · v2026-06-14_131629_phase3f

Two-stage distributional rainfall intensity (mm/h). Stage 1 = Phase 3a's P(wet); stage 2 = per-(station, lead) NGBoost-LogNormal fit on wet-hour rows (15-feature lean spec: 7 NWP precip + 4 spread + 4 calendar). Mixed predictive distribution F(x) = (1−π)·δ_0(x) + π·LogNormal(μ_log, σ_log)(x). CRPS is the headline skill metric — see Skill → Rain. Trained 2026-06-14. Metric: Test CRPS.

Lead Blend Best single Δ vs best
+24h NaN ngboost_lognormal (NaN val)
+48h NaN ngboost_lognormal (NaN val)
+72h NaN ngboost_lognormal (NaN val)
+96h NaN ngboost_lognormal (NaN val)
+120h NaN ngboost_lognormal (NaN val)
Verify history (7 runs)

Mon + Thu rolling CRPS. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_130145_phase3f 126 0.059
0.044
0.044
0.037
0.000
v2026-05-31_125257_phase3f
v2026-06-07_130145_phase3f
150 0.084
0.040
0.000
0.117
0.135
v2026-05-31_125257_phase3f 160 0.195
0.142
0.144
0.137
0.175
v2026-05-31_125257_phase3f 128 0.224
0.159
0.165
0.159
0.254
v2026-05-26_102409_phase3f
v2026-05-31_125257_phase3f
104 0.352
0.200
0.313
0.219
0.304
v2026-05-26_102409_phase3f 82 0.003
0.003
0.006
0.000
v2026-05-26_102409_phase3f 19 0.000

Rainfall amount — Goren

Phase 3f · v2026-06-14_131629_phase3f

Two-stage distributional rainfall intensity (mm/h). Stage 1 = Phase 3a's P(wet); stage 2 = per-(station, lead) NGBoost-LogNormal fit on wet-hour rows (15-feature lean spec: 7 NWP precip + 4 spread + 4 calendar). Mixed predictive distribution F(x) = (1−π)·δ_0(x) + π·LogNormal(μ_log, σ_log)(x). CRPS is the headline skill metric — see Skill → Rain. Trained 2026-06-14. Metric: Test CRPS.

Lead Blend Best single Δ vs best
+24h NaN ngboost_lognormal (NaN val)
+48h NaN ngboost_lognormal (NaN val)
+72h NaN ngboost_lognormal (NaN val)
+96h NaN ngboost_lognormal (NaN val)
+120h NaN ngboost_lognormal (NaN val)
Verify history (7 runs)

Mon + Thu rolling CRPS. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_130145_phase3f 126 0.080
0.063
0.074
0.066
0.003
v2026-05-31_125257_phase3f
v2026-06-07_130145_phase3f
150 0.098
0.039
0.037
0.214
0.187
v2026-05-31_125257_phase3f 160 0.267
0.216
0.252
0.287
0.265
v2026-05-31_125257_phase3f 128 0.316
0.267
0.331
0.415
0.462
v2026-05-26_102409_phase3f
v2026-05-31_125257_phase3f
104 0.335
0.144
0.246
0.200
0.282
v2026-05-26_102409_phase3f 79 0.008
0.011
0.017
0.000
v2026-05-26_102409_phase3f 17 0.000

Rainfall amount — Raymonds Hill

Phase 3f · v2026-06-14_131629_phase3f

Two-stage distributional rainfall intensity (mm/h). Stage 1 = Phase 3a's P(wet); stage 2 = per-(station, lead) NGBoost-LogNormal fit on wet-hour rows (15-feature lean spec: 7 NWP precip + 4 spread + 4 calendar). Mixed predictive distribution F(x) = (1−π)·δ_0(x) + π·LogNormal(μ_log, σ_log)(x). CRPS is the headline skill metric — see Skill → Rain. Trained 2026-06-14. Metric: Test CRPS.

Lead Blend Best single Δ vs best
+24h NaN ngboost_lognormal (NaN val)
+48h NaN ngboost_lognormal (NaN val)
+72h NaN ngboost_lognormal (NaN val)
+96h NaN ngboost_lognormal (NaN val)
+120h NaN ngboost_lognormal (NaN val)
Verify history (7 runs)

Mon + Thu rolling CRPS. Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-06-07_130145_phase3f 126 0.071
0.041
0.057
0.042
0.000
v2026-05-31_125257_phase3f
v2026-06-07_130145_phase3f
150 0.099
0.011
0.000
0.166
0.163
v2026-05-31_125257_phase3f 158 0.351
0.172
0.179
0.202
0.211
v2026-05-31_125257_phase3f 126 0.423
0.212
0.233
0.287
0.367
v2026-05-26_102409_phase3f
v2026-05-31_125257_phase3f
102 0.724
0.218
0.294
0.453
0.614
v2026-05-26_102409_phase3f 82 0.001
0.002
0.003
0.000
v2026-05-26_102409_phase3f 19 0.000