{"id":"W579128109","doi":"","title":"Using personal health insurance numbers to link the Canadian Cancer Registry and the Discharge Abstract Database.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Partnership Against Cancer; Cancer Care Ontario; Canadian Institute for Health Information; CancerCare Manitoba; Public Health Agency of Canada; Cancer Care Nova Scotia; Statistics Canada; University of Manitoba","funders":"","keywords":"Medicine; Cancer registry; Prostate cancer; Record linkage; Cancer; Health insurance; Colorectal cancer; Health care; Family medicine; Prostate; Internal medicine; Database; Breast cancer; Oncology; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007446596,0.0006486316,0.0006270342,0.006917416,0.001627076,0.00174658,0.001788798,0.0003950647,0.008721194],"category_scores_gemma":[0.02753694,0.00051439,0.000980445,0.01290057,0.0002837716,0.0006325895,0.002089019,0.0007979848,0.002175655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01779594,"about_ca_system_score_gemma":0.06869094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751576,"about_ca_topic_score_gemma":0.9797993,"domain_scores_codex":[0.9913379,0.001249092,0.00118741,0.001094254,0.004351605,0.0007797133],"domain_scores_gemma":[0.9818765,0.001672943,0.003791768,0.001847541,0.009727243,0.001084031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003392691,0.0001125144,0.5096818,0.001770659,0.0006213637,0.0001545971,0.0009499718,0.0022749,0.0005349721,0.00450132,0.3091761,0.1698825],"study_design_scores_gemma":[0.0001844465,0.00005910233,0.7835106,0.0007236878,0.0002564357,0.0001262069,0.000538739,0.006140793,0.0008880568,0.001176224,0.2062848,0.0001109044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06271362,0.001909137,0.01440949,0.00364302,0.0003220821,0.003518759,0.8622507,0.001458616,0.0497746],"genre_scores_gemma":[0.2771467,0.002806957,0.05548274,0.00136934,0.0001155632,0.003626373,0.6447403,0.00030646,0.01440552],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02484238,"threshold_uncertainty_score":0.1291192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2347597480596094,"score_gpt":0.3727421281807498,"score_spread":0.1379823801211404,"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."}}