{"id":"W4391846018","doi":"10.1200/jco.23.01291","title":"Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Cancer; Palliative care; Intensive care medicine; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00242973,0.0006737817,0.0006352373,0.001392725,0.0004213686,0.0007715932,0.0008287778,0.0006691286,0.001952509],"category_scores_gemma":[0.01736816,0.0002425333,0.000547805,0.0009531915,0.0003592897,0.0006240912,0.0004855669,0.0009853011,0.0004665511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198937,"about_ca_system_score_gemma":0.002347739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05010896,"about_ca_topic_score_gemma":0.03952022,"domain_scores_codex":[0.9986754,0.0006086093,0.00009532607,0.0003617757,0.0001266885,0.0001321372],"domain_scores_gemma":[0.9913931,0.005767037,0.00132306,0.0002867982,0.0009103786,0.0003197181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005187583,0.0007392214,0.5286458,0.0001874836,0.000301806,0.000134295,0.0001501453,0.2306489,0.0004402097,0.0009540106,0.01250011,0.2247792],"study_design_scores_gemma":[0.00006926316,0.0001394784,0.03694205,0.00005371653,0.00005864289,0.00007305594,0.0000720532,0.9573599,0.0004799533,0.003300073,0.001429158,0.0000227206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913526,0.00329831,0.1752349,0.009501204,0.00052986,0.0006349243,0.008955695,0.002878714,0.007613702],"genre_scores_gemma":[0.9760719,0.000195804,0.02014477,0.0003771497,0.0001151194,0.0001048906,0.00222155,0.00001949609,0.0007493143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05010896,"threshold_uncertainty_score":0.09963459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3649039674246012,"score_gpt":0.5984340566589451,"score_spread":0.2335300892343439,"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."}}