{"id":"W1812755018","doi":"10.1002/jhm.2212","title":"Development of a discharge readiness report within the electronic health record—A discharge planning tool","year":2014,"lang":"en","type":"article","venue":"Journal of Hospital Medicine","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Subspecialty; Medicine; Discharge planning; Hospital discharge; Medical emergency; Electronic health record; Health care; Patient discharge; Medical record; Psychological intervention; Process management; Nursing; MEDLINE; Family medicine; Intensive care medicine; Business; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289797,0.0002075705,0.0007842346,0.0001777855,0.0001164692,0.000007552528,0.0001498656,0.0000445438,0.00006118582],"category_scores_gemma":[0.0005145858,0.0001025637,0.0001128583,0.0002325892,0.00009021461,0.0001153614,0.00004300942,0.0003752741,0.000005973068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974673,"about_ca_system_score_gemma":0.0004713894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850217,"about_ca_topic_score_gemma":0.0000157612,"domain_scores_codex":[0.9972147,0.00006999809,0.001451991,0.000177612,0.000723437,0.0003622598],"domain_scores_gemma":[0.9979194,0.00008971531,0.001276925,0.0003161481,0.000202392,0.0001953703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003236177,0.005366786,0.4696025,0.002725247,0.00611859,0.002055527,0.08535264,0.00003572094,0.007433077,0.03125687,0.2323842,0.1544326],"study_design_scores_gemma":[0.01512676,0.02975316,0.2007812,0.008719186,0.001162627,0.002742596,0.00952129,0.0002625246,0.002582944,0.001475775,0.72716,0.0007119442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230461,0.0008938071,0.00593674,0.06763758,0.001046283,0.0006392039,6.015201e-7,0.00002125603,0.0007784281],"genre_scores_gemma":[0.9915602,0.00006954266,0.00586394,0.0005952914,0.0007464483,0.00001305113,0.0000141706,0.00002526354,0.001112054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947758,"threshold_uncertainty_score":0.4182426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494670911290309,"score_gpt":0.2972954632158193,"score_spread":0.2823487541029163,"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."}}