{"id":"W4302307431","doi":"10.1001/jama.2022.18305","title":"Readmission Reduction as a Hospital Quality Measure","year":2022,"lang":"en","type":"article","venue":"JAMA","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Aging","keywords":"Medicine; Measure (data warehouse); Quality (philosophy); Quality management; Health care; Intensive care medicine; Medical emergency; Operations management; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03498137,0.0006249117,0.001206975,0.003274686,0.0008518221,0.005119846,0.002055298,0.00340615,0.002509324],"category_scores_gemma":[0.08751292,0.0002093115,0.002295561,0.002343647,0.002967711,0.003178811,0.001699741,0.008265518,0.0003439731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004407119,"about_ca_system_score_gemma":0.002719636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343757,"about_ca_topic_score_gemma":0.006116732,"domain_scores_codex":[0.9446534,0.03826175,0.002883806,0.001865594,0.01146882,0.0008667546],"domain_scores_gemma":[0.899711,0.06662569,0.01312403,0.00415567,0.01389482,0.002488834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000858581,0.001327849,0.06010006,0.002139715,0.002357715,0.0001605382,0.003034748,0.01283262,0.0008162058,0.5166993,0.2191471,0.1805257],"study_design_scores_gemma":[0.001888674,0.00698865,0.1749693,0.007420712,0.004831544,0.000667051,0.005816558,0.09273592,0.004934549,0.3638729,0.3349306,0.0009434922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06162972,0.03874904,0.08355479,0.6887721,0.02122493,0.0004510629,0.00140367,0.000645255,0.1035694],"genre_scores_gemma":[0.8227476,0.006213386,0.04023828,0.1034376,0.01779999,0.0007878511,0.0003441125,0.0002052279,0.008225937],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03498137,"threshold_uncertainty_score":0.1850014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584459741081918,"score_gpt":0.310679779713716,"score_spread":0.2848351823028968,"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."}}