{"id":"W7130579180","doi":"10.7202/1122220ar","title":"L’UTILISATION D’OUTILS D’AIDE À LA DÉCISION : ENTRE INDIVIDUALISATION DE LA JUSTICE ET EFFICACITÉ","year":2023,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Context (archaeology); Subject (documents); Identity (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01416798,0.000348052,0.0005292225,0.0002524433,0.0006361261,0.0001307356,0.0003327205,0.001444512,0.003546365],"category_scores_gemma":[0.03951579,0.000362343,0.0001745804,0.0008998683,0.0002535382,0.0006016314,0.000278976,0.002152897,0.004532906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025933,"about_ca_system_score_gemma":0.0007882314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757864,"about_ca_topic_score_gemma":0.0003124199,"domain_scores_codex":[0.985669,0.01116012,0.00102544,0.0006225517,0.0006190095,0.0009039419],"domain_scores_gemma":[0.9653669,0.03291422,0.0004226475,0.0006258953,0.0002068226,0.0004634928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005146634,0.001437169,0.06200423,0.01002593,0.0002324742,0.0004569524,0.2764293,0.002855242,0.0007194403,0.2651166,0.2359983,0.1442096],"study_design_scores_gemma":[0.001296691,0.0001011576,0.1330481,0.001900996,0.0006634801,0.00002383664,0.01717576,0.01473278,0.00002554224,0.006463134,0.824235,0.000333603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6763524,0.0008596033,0.003551312,0.2847261,0.005905157,0.001400798,0.0001549201,0.0004982912,0.02655137],"genre_scores_gemma":[0.9640265,0.004853788,0.002565694,0.003741165,0.003826438,0.0001215664,0.0005273703,0.00008905188,0.02024849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5882366,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.084021553236029,"score_gpt":0.4154023210921037,"score_spread":0.3313807678560747,"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."}}