{"id":"W6966992939","doi":"10.5067/gpmgv/gcpex/mrr/data203","title":"GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MICRO RAIN RADAR (MRR) GCPEX V2","year":2025,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radar; Global Precipitation Measurement; Space-based radar; Precipitation; Satellite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003564282,0.001154267,0.001559119,0.0007415084,0.0008632409,0.001508032,0.002874435,0.0006885479,0.00009522345],"category_scores_gemma":[0.0002460265,0.001161242,0.0001164242,0.0006546701,0.00007309471,0.006428529,0.002248248,0.000686939,0.0009822942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213566,"about_ca_system_score_gemma":0.001818997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3049848,"about_ca_topic_score_gemma":0.04846436,"domain_scores_codex":[0.9915485,0.0009318736,0.003418992,0.001079651,0.002121768,0.0008992585],"domain_scores_gemma":[0.9904057,0.0003026807,0.002994338,0.005644809,0.00024712,0.0004053517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004243104,0.00001254724,0.00007989052,0.01543371,0.0002948222,0.00002113818,0.0001561037,0.00007311469,0.0000147645,0.00007833394,0.9835165,0.0002767159],"study_design_scores_gemma":[0.001180152,0.00003315358,0.0005420504,0.004931357,0.0003667778,0.0001959898,0.004694444,0.002095408,0.00003762144,1.367278e-7,0.9849176,0.001005253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007870576,0.0005935924,0.0004964509,0.00007346234,0.002834258,0.002490085,0.9917934,0.0003330812,0.0005986295],"genre_scores_gemma":[0.003435581,0.00009534556,0.0003371494,0.0002210841,0.0004215194,0.0001439297,0.9949527,0.00005494168,0.0003376894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2565205,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801050948462305,"score_gpt":0.2113724070211856,"score_spread":0.1933618975365625,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}