{"id":"W3111828077","doi":"10.9778/cmajo.20200052","title":"Factors predicting the risk of loss of decisional capacity for medical assistance in dying: a retrospective database review","year":2020,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Retrospective cohort study; Medicine; Odds; Logistic regression; Odds ratio; Palliative care; Reflection (computer programming); Database; Internal medicine; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002975719,0.0002567938,0.001122817,0.004061721,0.0005347586,0.000987765,0.001090359,0.0005729295,0.001390413],"category_scores_gemma":[0.01230463,0.0005236481,0.001185298,0.008296238,0.0004106023,0.0006058571,0.0006076632,0.0005075776,0.0002381511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778345,"about_ca_system_score_gemma":0.004408062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03758184,"about_ca_topic_score_gemma":0.05471768,"domain_scores_codex":[0.9959555,0.0008836488,0.001375802,0.0006762137,0.0008514308,0.000257504],"domain_scores_gemma":[0.9779181,0.007145497,0.01033616,0.001012304,0.002912209,0.000675679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001806975,0.00002996964,0.9913379,0.002113728,0.0006391219,0.0002827734,0.0001943431,0.00006399569,0.00007051896,0.00005269345,0.00125594,0.00377826],"study_design_scores_gemma":[0.00004387492,0.00009868544,0.9920094,0.001587276,0.001001664,0.001360971,0.0007396126,0.0002896941,0.0001166532,0.00002671681,0.002698422,0.00002703321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199795,0.05204272,0.0005588826,0.0003187364,0.00003794871,0.0004622778,0.02521515,0.00001721004,0.00136773],"genre_scores_gemma":[0.9720988,0.0157092,0.0006567582,0.0002662962,0.00004400839,0.000475079,0.01058137,0.000008804967,0.0001597327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03758184,"threshold_uncertainty_score":0.07472616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.286026134798777,"score_gpt":0.4600253494669156,"score_spread":0.1739992146681386,"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."}}