{"id":"W2592242387","doi":"10.5430/jha.v6n2p53","title":"Correlates of keeping post-discharge appointments at a transitional care center: Implications for medical care disparities","year":2017,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Logistic regression; Referral; Family medicine; Health care; Transitional care; Observational study; Retrospective cohort study; Emergency department; Emergency medicine; Medical emergency; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971528,0.00008561846,0.0002445227,0.00008509975,0.0002898781,0.00005637094,0.0002197781,0.00007942678,0.00003441041],"category_scores_gemma":[0.0002206395,0.00009109148,0.00017955,0.00001907867,0.00006113912,0.0003123876,0.00003151058,0.00007912944,0.000003976112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301121,"about_ca_system_score_gemma":0.0001069987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007350054,"about_ca_topic_score_gemma":0.0002051177,"domain_scores_codex":[0.9989302,0.000006315047,0.0007197692,0.000125724,0.00007328041,0.0001447829],"domain_scores_gemma":[0.9985026,0.0000330056,0.0009335639,0.000163619,0.0002531879,0.0001140929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002137197,0.0007354103,0.3695333,0.0008439595,0.0002117997,0.000005439159,0.005529099,0.00001139078,0.00002779849,0.6196415,0.0007204331,0.002526201],"study_design_scores_gemma":[0.004355039,0.007768152,0.9500166,0.0004470673,0.00007091962,0.000062871,0.003137968,0.0001893776,0.0004637749,0.01826557,0.01475818,0.0004644491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576002,0.001158165,0.005111218,0.03030697,0.0009505912,0.0004340532,0.002206162,0.000006643494,0.002226002],"genre_scores_gemma":[0.9987977,0.0001430834,0.0005047182,0.0001511355,0.0001746979,0.00002232625,0.00015506,0.000009292172,0.00004200795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6013759,"threshold_uncertainty_score":0.3714603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280014544204748,"score_gpt":0.3012568071230853,"score_spread":0.2732553527026105,"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."}}