{"id":"W2977647461","doi":"10.1080/07055900.2019.1651522","title":"V. Fortin, G. Roy, T. Stadnyk, K. Koenig, N. Gasset, and A. Mahidjiba. Ten Years of Science Based on the Canadian Precipitation Analysis: A CaPA System Overview and Literature Review","year":2019,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338312,0.0001470282,0.0002941776,0.00001657198,0.0001796375,0.0001000395,0.000270869,0.00006540123,0.0005075919],"category_scores_gemma":[0.0001213988,0.0001080014,0.00007322773,0.001183224,0.0002408018,0.0002490442,0.00008931538,0.0001299095,0.0000250668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438684,"about_ca_system_score_gemma":0.00009216968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0145922,"about_ca_topic_score_gemma":0.02737136,"domain_scores_codex":[0.9984033,0.0001205843,0.0002946475,0.0004514956,0.000439839,0.0002901549],"domain_scores_gemma":[0.998913,0.0001372312,0.0001619022,0.0005542174,0.00004046965,0.0001931595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000952498,0.0002276365,0.9232376,0.007537556,0.0003164054,0.00004543285,0.007913494,0.02766348,0.0006084474,0.01198765,0.00998618,0.01038091],"study_design_scores_gemma":[0.00085175,0.000419959,0.6572447,0.008320725,0.0009325133,0.00002647895,0.001187245,0.3198215,0.0000839984,0.0005105596,0.009773871,0.0008267355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916522,0.003040039,0.00001005074,0.0006348277,0.00004122645,0.0008054819,0.0001057315,0.00001768024,0.003692746],"genre_scores_gemma":[0.9978461,0.0007754388,0.0003898896,0.0007863759,0.000005798939,0.000007880449,0.00002507736,0.00001014098,0.0001532986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.292158,"threshold_uncertainty_score":0.9919697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009333208616309952,"score_gpt":0.2248046156550043,"score_spread":0.2154714070386944,"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."}}