{"id":"W7017332053","doi":"","title":"Analyse non stationnaire des précipitations générées par le modèle régional canadien du climat sur la période","year":2013,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Statistical analysis; Population; Subject (documents)","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":[0.001891326,0.00131151,0.0009200997,0.0009941374,0.0005052133,0.001009424,0.0009992317,0.00083869,0.002271043],"category_scores_gemma":[0.006266567,0.0006723791,0.001223663,0.001231897,0.0003807654,0.0007290279,0.0003320723,0.0009151436,0.0005207213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201517,"about_ca_system_score_gemma":0.002317845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4084094,"about_ca_topic_score_gemma":0.3961909,"domain_scores_codex":[0.9993436,0.0002361824,0.00003055561,0.0001634305,0.0001590839,0.00006731693],"domain_scores_gemma":[0.9963223,0.002519029,0.000173388,0.0003287582,0.0005461006,0.0001104291],"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":[0.0005376933,0.0001082125,0.03115354,0.0001724335,0.0005771446,0.0001782782,0.000120269,0.9440156,0.002418353,0.001124661,0.004436039,0.0151577],"study_design_scores_gemma":[0.0001396933,0.00003173358,0.02347304,0.00001330438,0.00004921188,0.00002638947,0.00003081431,0.9719843,0.001855771,0.0002859993,0.002086745,0.0000230805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314998,0.001103681,0.04454086,0.0007250304,0.0001443343,0.00007567176,0.0136958,0.002931365,0.005283436],"genre_scores_gemma":[0.9590005,0.0002599723,0.02041548,0.00005585451,0.00005727359,0.0000936159,0.01356457,0.0007779156,0.00577468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4084094,"threshold_uncertainty_score":0.8120644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128510971404166,"score_gpt":0.2181636468249545,"score_spread":0.2068785371109129,"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."}}