{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005125551,0.00007351845,0.00009961641,0.00003698331,0.0001754235,0.0002060776,0.0001828135,0.00004071393,0.0006122555],"category_scores_gemma":[0.00001225503,0.00005065516,0.0001315784,0.001233893,0.00001737832,0.0001434581,0.000001261986,0.00006303917,0.0002248665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002635676,"about_ca_system_score_gemma":0.00008726084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07852126,"about_ca_topic_score_gemma":0.9138264,"domain_scores_codex":[0.9992347,0.00006431164,0.0001661159,0.0001920622,0.0001759373,0.0001668107],"domain_scores_gemma":[0.9995712,0.0001524518,0.00002520578,0.0001457321,0.00004659627,0.00005882268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000129852,0.00001409426,0.8256598,0.0001695921,0.0009905706,0.000007844969,0.003162664,0.05684363,0.00001133393,0.00458821,0.00642766,0.1021117],"study_design_scores_gemma":[0.0001553963,0.00003759928,0.5343786,0.00004515497,0.001025068,0.000001776774,0.004054116,0.3921739,0.00001242593,0.001025991,0.06685798,0.0002319944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6022613,0.02047957,0.1089038,0.01638227,0.001709742,0.00585686,0.001271787,0.0005968727,0.2425378],"genre_scores_gemma":[0.9981651,0.000006947584,0.0008112073,0.0001127749,0.00009203344,0.0000528733,0.0003632275,0.000002404236,0.0003934603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8353052,"threshold_uncertainty_score":0.9276149,"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."}}