{"id":"W7104256057","doi":"10.71781/1486","title":"Prédiction de mortalité et prise de décision clinique : vers des soins centrés sur le patient","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Medical screening; Context (archaeology); Electrodiagnosis","routes":{"ca_aff":false,"ca_fund":true,"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":[0.01118037,0.0009336473,0.001487284,0.001024057,0.0006107049,0.002452006,0.0009993155,0.001343347,0.005749573],"category_scores_gemma":[0.03945526,0.0003849779,0.002008751,0.001431921,0.0006000421,0.001710257,0.00128105,0.002228297,0.0008950795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656001,"about_ca_system_score_gemma":0.003458031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0232648,"about_ca_topic_score_gemma":0.02021053,"domain_scores_codex":[0.9953077,0.003269444,0.0001985457,0.0006282624,0.0004184315,0.0001776034],"domain_scores_gemma":[0.9799549,0.01555097,0.001953293,0.0006158412,0.001360805,0.0005641092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003661134,0.0006451708,0.7623945,0.001680254,0.00218693,0.0004331063,0.002995838,0.05446096,0.001028591,0.00427393,0.007396458,0.1588432],"study_design_scores_gemma":[0.0007073497,0.004166579,0.6072684,0.004349946,0.00284274,0.00112101,0.00545428,0.3260323,0.002779899,0.01837604,0.02660351,0.0002979073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012287,0.01413917,0.06485108,0.008432038,0.000344413,0.000518619,0.003790544,0.0002364555,0.00645893],"genre_scores_gemma":[0.9750307,0.003658757,0.01600556,0.0006267693,0.0001760777,0.0004288985,0.001488277,0.00004158817,0.002543386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0232648,"threshold_uncertainty_score":0.05912817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551396777819173,"score_gpt":0.3691082562787373,"score_spread":0.31396857849682,"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."}}