{"id":"W4282573323","doi":"10.1200/op.21.00868","title":"Association Between Postdischarge Medical Oncology Follow-Up Appointments and Downstream Health Care Use: A Single-Institution Experience","year":2022,"lang":"en","type":"article","venue":"JCO Oncology Practice","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Propensity score matching; Logistic regression; Odds ratio; Emergency medicine; Emergency department; Internal medicine; Retrospective cohort study; Health care; Odds; Cohort; MEDLINE; Family medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001898473,0.0001937222,0.0007170117,0.0001948687,0.0006738241,0.0000764498,0.0002582583,0.0003243283,0.0006361258],"category_scores_gemma":[0.00321288,0.0002458952,0.00008874474,0.0002123662,0.0001165389,0.001312596,0.0002980009,0.0007001083,0.0001415194],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006304268,"about_ca_system_score_gemma":0.0008258754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014837,"about_ca_topic_score_gemma":0.0005049238,"domain_scores_codex":[0.9975924,0.0002617103,0.0008883495,0.0005865683,0.0001360595,0.000534871],"domain_scores_gemma":[0.9968951,0.0008310188,0.001657025,0.0002458014,0.00008379649,0.000287231],"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":[0.0009729948,0.001464293,0.7008275,0.00007338315,0.0007379001,0.000127828,0.0288439,0.0000334087,0.00001705793,0.07964274,0.03386888,0.1533901],"study_design_scores_gemma":[0.002353033,0.001754945,0.02452053,0.000006859975,0.00003871106,0.00006781054,0.003521386,0.00003947276,0.000007235864,0.0004787593,0.9669629,0.0002482974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745765,0.004826985,0.001131825,0.05020473,0.004618436,0.0009124127,0.000771562,0.0001158097,0.06284171],"genre_scores_gemma":[0.9869855,0.0009026779,0.001009276,0.009451874,0.0003578173,0.0001687338,0.0001209454,0.0000248432,0.0009783274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9330941,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417149094717793,"score_gpt":0.3364671627941339,"score_spread":0.2822956718469559,"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."}}