{"id":"W4400089921","doi":"10.3390/atmos15070763","title":"IMERG in the Canadian Precipitation Analysis (CaPA) System for Winter Applications","year":2024,"lang":"en","type":"article","venue":"Atmosphere","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada","funders":"Mitacs; Manitoba Hydro","keywords":"Global Precipitation Measurement; Environmental science; Climatology; Precipitation; Meteorology; Scale (ratio); Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003019359,0.001521811,0.000629003,0.002573356,0.001517213,0.002098278,0.002414895,0.0005268051,0.013484],"category_scores_gemma":[0.005183124,0.0005014364,0.0007885371,0.003821135,0.0003692259,0.001297628,0.00183559,0.0008535917,0.005531163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0065544,"about_ca_system_score_gemma":0.02127631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8904781,"about_ca_topic_score_gemma":0.8932233,"domain_scores_codex":[0.9984422,0.000171829,0.00008466163,0.0002845227,0.0007730921,0.0002437391],"domain_scores_gemma":[0.9966311,0.0001231833,0.0001189521,0.0004694729,0.002377939,0.0002794038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001603824,0.0002816164,0.03920964,0.0005822435,0.0004295153,0.0002526857,0.0008314007,0.03231629,0.01597559,0.01570699,0.5171345,0.3756757],"study_design_scores_gemma":[0.0005143602,0.0001434453,0.1016098,0.0002285121,0.000248364,0.0001538512,0.0005479613,0.2935877,0.0149067,0.005788321,0.581775,0.0004960652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08532757,0.001430532,0.2602963,0.002045244,0.0008590995,0.002432291,0.2743711,0.2418401,0.1313977],"genre_scores_gemma":[0.2812359,0.001114231,0.4949985,0.0007524556,0.000197854,0.001697134,0.189689,0.01013067,0.02018435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1095219,"threshold_uncertainty_score":0.2203338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812946951863263,"score_gpt":0.2364058360862009,"score_spread":0.2182763665675683,"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."}}