{"id":"W7034288283","doi":"","title":"Synthèse chimique et évaluation biologique de dérivés stéroïdiens pour lutter contre les maladies sensibles aux estrogènes","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Coronary heart disease; General interest","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005664123,0.0006603725,0.0005854186,0.0005706439,0.0004971571,0.0006573829,0.000376149,0.0006464207,0.007058232],"category_scores_gemma":[0.0007621563,0.0003504421,0.0009258743,0.0006058724,0.0003537151,0.0005813698,0.0003351501,0.001210892,0.002988887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353586,"about_ca_system_score_gemma":0.001046299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799468,"about_ca_topic_score_gemma":0.003811717,"domain_scores_codex":[0.9996079,0.00008191757,0.00002725956,0.00009132571,0.0001483146,0.00004328869],"domain_scores_gemma":[0.9997033,0.00007517567,0.00004213869,0.00003589354,0.0001130287,0.0000303412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004389676,0.0001805889,0.0005519367,0.001793429,0.0001070699,0.0002534829,0.000109171,0.001115742,0.9348124,0.001299771,0.001289939,0.05804745],"study_design_scores_gemma":[0.00009305314,0.001885303,0.001787629,0.0002147655,0.0001600378,0.0005809064,0.00009299991,0.0005646723,0.8563846,0.0004580509,0.137734,0.00004399549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4095885,0.4050197,0.09933989,0.00292997,0.002361926,0.001630273,0.008955661,0.0009029468,0.06927102],"genre_scores_gemma":[0.7071628,0.1608511,0.05391807,0.001956479,0.0004735924,0.0007363683,0.006807751,0.0003807106,0.06771304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007058232,"threshold_uncertainty_score":0.02361214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879484385833368,"score_gpt":0.2546326851375754,"score_spread":0.2358378412792417,"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."}}