{"id":"W2895725880","doi":"10.1200/jop.18.00275","title":"Examination of Health System Resources and Costs Associated With Transitioning Cancer Survivors to Primary Care: A Propensity-Score–Matched Cohort Study","year":2018,"lang":"en","type":"article","venue":"Journal of Oncology Practice","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Juravinski Cancer Centre; Cancer Care Ontario; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Medicine; Propensity score matching; Cohort; Intervention (counseling); Breast cancer; Cancer; Emergency medicine; Health care; Cohort study; Family medicine; Physical therapy; Internal medicine; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478416,0.0003059463,0.0004032989,0.001327902,0.0008139008,0.0008455765,0.0005453089,0.0007349289,0.00174205],"category_scores_gemma":[0.003739733,0.0004438004,0.001108336,0.001933872,0.0003434532,0.0006251033,0.0006460891,0.0007750926,0.0002064422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005639198,"about_ca_system_score_gemma":0.0006650229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736616,"about_ca_topic_score_gemma":0.01289929,"domain_scores_codex":[0.9988183,0.0003122017,0.0001357294,0.0003030733,0.0002254504,0.0002052375],"domain_scores_gemma":[0.9973355,0.0003291092,0.001286843,0.0004435178,0.0002655123,0.0003395061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228207,0.00006096965,0.9991442,0.000003560372,0.0001239441,0.00002136187,0.00003285759,0.00002907176,0.00004855912,0.00001359483,0.00007349289,0.0003255887],"study_design_scores_gemma":[0.00001669605,0.0001363745,0.9991564,0.000002837465,0.00005845354,0.00006070369,0.0001109261,0.0003326727,0.00002264855,0.00001545629,0.00008316818,0.000003770039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992511,0.00006139672,0.0001111039,0.00002562029,0.000004607323,0.0000266095,0.0003619936,0.000002588774,0.0001548346],"genre_scores_gemma":[0.9993935,0.00003246019,0.00006724054,0.00001964161,0.000006785311,0.00002020894,0.0003761799,0.000001394925,0.00008261504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01736616,"threshold_uncertainty_score":0.03453016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570390057732874,"score_gpt":0.3331261631024555,"score_spread":0.2974222625251268,"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."}}