{"id":"W7033652114","doi":"","title":"Régressions probabilistes multi-sites multivariées pour la réduction d’échelle (downscaling) des variables climatiques.","year":2016,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Statistical analysis; Pilotage; Research methodology","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":[0.003124051,0.001038358,0.001127342,0.0007584337,0.0003468989,0.001395776,0.001736452,0.0007300259,0.003773584],"category_scores_gemma":[0.007902542,0.0008830812,0.00214034,0.001039759,0.0005058325,0.001465967,0.001261169,0.002354225,0.001360988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466888,"about_ca_system_score_gemma":0.001171253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009960258,"about_ca_topic_score_gemma":0.01118592,"domain_scores_codex":[0.9984096,0.0007341075,0.00007931211,0.0004254354,0.0002679875,0.0000835983],"domain_scores_gemma":[0.9952729,0.003344112,0.0003808988,0.0005064059,0.0004195365,0.00007613342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001689741,0.00007136484,0.004819695,0.0001596949,0.0004660616,0.0000419493,0.00009294424,0.9040172,0.004520446,0.009179525,0.001079831,0.07538221],"study_design_scores_gemma":[0.000007250962,0.00002547215,0.001280207,0.000009535255,0.00002858587,0.00001266137,0.00001154012,0.9931438,0.001247284,0.002647986,0.001574946,0.00001086798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02031402,0.0004890849,0.9763535,0.0001328361,0.00004383245,0.00005138244,0.0005324761,0.001158987,0.0009237719],"genre_scores_gemma":[0.4403755,0.001077418,0.5420516,0.0001909046,0.0001977813,0.0004901323,0.004278355,0.0007346911,0.01060362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009960258,"threshold_uncertainty_score":0.0198046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203734810796395,"score_gpt":0.3884280745165438,"score_spread":0.2680545934369044,"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."}}