{"id":"W3159106367","doi":"10.1136/bmjspcare-2020-002870","title":"mHOMR: a prospective observational study of an automated mortality prediction model to identify patients with unmet palliative needs","year":2021,"lang":"en","type":"article","venue":"BMJ Supportive & Palliative Care","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa; Sinai Health System; Ottawa Hospital; Bridgepoint Active Healthcare; Institute for Work & Health; Humber River Regional Hospital; McMaster University; University Health Network; University of Toronto","funders":"Canadian Frailty Network; Associated Medical Services; Toronto General and Western Hospital Foundation; Ottawa Hospital Research Institute","keywords":"Palliative care; Medicine; Observational study; Life expectancy; Prospective cohort study; Advance care planning; Disease; Emergency medicine; Intensive care medicine; Family medicine; Internal medicine; Nursing; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002899571,0.0005369456,0.001225639,0.0003490311,0.0001378188,0.00002843123,0.00020843,0.0001869826,0.0001027783],"category_scores_gemma":[0.001079323,0.0004669871,0.000211777,0.001704932,0.0001855442,0.0004473847,0.0001561564,0.0003270136,0.000007849218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076342,"about_ca_system_score_gemma":0.001057238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001769441,"about_ca_topic_score_gemma":0.0004916546,"domain_scores_codex":[0.9953785,0.0003366529,0.001226941,0.0009018178,0.001683541,0.0004725734],"domain_scores_gemma":[0.9886149,0.0001919417,0.0008538881,0.0007138847,0.009245659,0.0003797024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001165938,0.002551999,0.9155672,0.0003028053,0.001316581,0.00009936831,0.07554642,0.002216932,0.0007071104,0.000130027,0.0002721901,0.0001234369],"study_design_scores_gemma":[0.005623986,0.004222971,0.8888261,0.0009238646,0.0007348218,9.100072e-7,0.08602563,0.003673943,0.009441198,0.0001019432,0.00003065652,0.0003939656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901016,0.0001225605,0.002066243,0.00007991631,0.0001357417,0.004074982,0.002432687,0.0002017032,0.0007845514],"genre_scores_gemma":[0.9910817,0.00001923045,0.005004741,0.0002149877,0.00008764774,0.0005717189,0.002807076,0.00006876543,0.0001441718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02674107,"threshold_uncertainty_score":0.9997782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194603579806456,"score_gpt":0.4919474998710339,"score_spread":0.2724871418903883,"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."}}