{"id":"W4412738732","doi":"10.54932/obkc2252","title":"Trajectoires de soins des grands utilisateurs : exploitation des données de la cohorte torsade","year":2025,"lang":"fr","type":"report","venue":"","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.007188164,0.0005251542,0.0006387317,0.002340474,0.001247207,0.002134315,0.0009084187,0.0005723553,0.004296498],"category_scores_gemma":[0.02429637,0.0004231546,0.001845008,0.004957957,0.0006009855,0.001145174,0.00181757,0.001069975,0.0009535176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978057,"about_ca_system_score_gemma":0.005292621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5875502,"about_ca_topic_score_gemma":0.6486712,"domain_scores_codex":[0.9967205,0.001415506,0.0002760834,0.0005672832,0.0006013653,0.0004192225],"domain_scores_gemma":[0.9857321,0.005901391,0.00326861,0.001489048,0.002921258,0.0006875821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287348,0.0000170611,0.9821622,0.0001758888,0.0004539512,0.0001297404,0.003575559,0.0008606764,0.0002737339,0.0004225181,0.001776037,0.01002388],"study_design_scores_gemma":[0.00000896146,0.00006911319,0.9787769,0.0002881112,0.000198134,0.0001915751,0.00616591,0.002946327,0.0002012008,0.000307736,0.01080811,0.00003798325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578374,0.002318335,0.008008581,0.001121533,0.00009529826,0.0001660414,0.02702881,0.00008099374,0.003342882],"genre_scores_gemma":[0.9745891,0.001061132,0.004811096,0.000163716,0.00003149844,0.0003504277,0.01341987,0.00005357998,0.005519575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5875502,"threshold_uncertainty_score":0.8297576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2885749104907339,"score_gpt":0.4942459527382593,"score_spread":0.2056710422475254,"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."}}