{"id":"W2105683393","doi":"","title":"Choisir avec soin: Éviter la médecine excessive","year":2014,"lang":"fr","type":"article","venue":"PubMed Central","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy; Gynecology; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01323333,0.0006707283,0.0009824716,0.0002264274,0.0008921104,0.0001723119,0.0007657128,0.001463058,0.003353816],"category_scores_gemma":[0.01231026,0.0006655463,0.0002751789,0.0005777732,0.0005751413,0.001323541,0.0004372293,0.004071537,0.002869411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488888,"about_ca_system_score_gemma":0.00171634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002251811,"about_ca_topic_score_gemma":0.002356082,"domain_scores_codex":[0.9733692,0.01588725,0.001748705,0.001108064,0.0009970983,0.006889675],"domain_scores_gemma":[0.9867796,0.006871018,0.001135712,0.001257408,0.0003712543,0.003584985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003666647,0.001191721,0.3597298,0.003655182,0.0002329944,0.0001520935,0.01941102,0.00001720952,0.0000254812,0.06661257,0.1030294,0.4455758],"study_design_scores_gemma":[0.001673236,0.00006196342,0.4987563,0.0003871045,0.00009368545,0.00002613661,0.0007143068,0.0001812769,0.00002240836,0.0028805,0.4948117,0.0003914032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.556982,0.006555345,0.002275969,0.3556879,0.0317455,0.003386357,0.0002528343,0.0003747613,0.04273937],"genre_scores_gemma":[0.9022796,0.001573967,0.00113828,0.03511384,0.01500011,0.0006889576,0.0001060052,0.0001872012,0.043912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4451844,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3112085854415169,"score_gpt":0.4511615198383466,"score_spread":0.1399529343968297,"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."}}