{"id":"W2737868430","doi":"10.1097/mlr.0000000000000777","title":"Validity of Administrative Data in Identifying Cancer-related Events in Adolescents and Young Adults","year":2017,"lang":"en","type":"article","venue":"Medical Care","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Institute for Clinical Evaluative Sciences; Canadian Partnership Against Cancer; Hospital for Sick Children; Pediatric Oncology Group; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cancer; Population; Record linkage; Cohort; Diagnosis code; Young adult; Gerontology; Internal medicine; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05535048,0.0003698155,0.0006171721,0.003750232,0.0006464244,0.002251645,0.00113103,0.0007458761,0.0004911775],"category_scores_gemma":[0.167122,0.0003833159,0.00107374,0.004013023,0.0008682341,0.001147906,0.001651198,0.0007857939,0.0001838326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718095,"about_ca_system_score_gemma":0.003006413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02820195,"about_ca_topic_score_gemma":0.02416785,"domain_scores_codex":[0.9656926,0.01944435,0.004911312,0.002069467,0.006789048,0.001093176],"domain_scores_gemma":[0.8473516,0.09032565,0.03531982,0.008761406,0.01657266,0.001668821],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006873892,0.00001927021,0.9960108,0.00003744502,0.00007397671,0.0000133005,0.0001693055,0.0002340615,0.00001733103,0.0000885691,0.0001833613,0.003083931],"study_design_scores_gemma":[0.00003430185,0.0001507515,0.9876,0.0003579929,0.0001559793,0.0001193553,0.0006541081,0.008167782,0.0003386934,0.0004248029,0.001978965,0.00001737634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869536,0.001424749,0.00374979,0.0005838631,0.00007641188,0.0004739419,0.003210904,0.00002799185,0.003498895],"genre_scores_gemma":[0.9937742,0.0003555396,0.003258694,0.000199297,0.00004203404,0.0001804367,0.002089888,0.000007536733,0.00009238413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9446495,"threshold_uncertainty_score":0.2927248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278398795768387,"score_gpt":0.4316957765721092,"score_spread":0.3038558969952705,"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."}}