{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009400317,0.003042469,0.00129125,0.002620063,0.0009266493,0.001575622,0.00321629,0.002072419,0.03255161],"category_scores_gemma":[0.003486032,0.0007873894,0.00123351,0.004494243,0.0005134416,0.0009496359,0.001086908,0.001563764,0.05330856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002068318,"about_ca_system_score_gemma":0.003642626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2042928,"about_ca_topic_score_gemma":0.2234907,"domain_scores_codex":[0.9991372,0.0001053955,0.00006261546,0.0002191394,0.0002942433,0.0001814055],"domain_scores_gemma":[0.998235,0.0002050801,0.0001221499,0.0004493743,0.0008373627,0.0001510189],"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":[0.00004704018,0.0000205847,0.0005173379,0.0001367024,0.00002288924,0.00001148334,0.000008570642,0.0009704481,0.0000986478,0.000193916,0.99656,0.001412277],"study_design_scores_gemma":[0.0005751393,0.0000294173,0.01060601,0.0002400296,0.00005735675,0.00005650695,0.00008964506,0.005118889,0.001030075,0.00175662,0.9803742,0.00006610914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001938237,0.00001939615,0.00008305099,0.00003505403,0.00002120432,0.000009810265,0.9988291,0.0003793756,0.0004292058],"genre_scores_gemma":[0.0005133174,0.00001719329,0.0002826023,0.00002125608,0.000005032096,0.00003247793,0.9985122,0.00007727819,0.0005386928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7957072,"threshold_uncertainty_score":0.4062073,"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."}}