{"id":"W2609122171","doi":"10.1097/md.0000000000006704","title":"Cancer studies based on secondary data analysis of the Taiwan's National Health Insurance Research Database","year":2017,"lang":"en","type":"article","venue":"Medicine","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Medicine; National health insurance; Cancer; MEDLINE; Prostate cancer; Colorectal cancer; Breast cancer; Family medicine; Population; Database; Internal medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03710619,0.001279125,0.004444334,0.05830386,0.001191084,0.003455308,0.001555943,0.0009836265,0.0074878],"category_scores_gemma":[0.1485843,0.0006413323,0.005559396,0.04978383,0.00103488,0.002385335,0.002340201,0.0008664044,0.001230691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681984,"about_ca_system_score_gemma":0.01025999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004693206,"about_ca_topic_score_gemma":0.007174263,"domain_scores_codex":[0.9352784,0.01568713,0.03552804,0.003807305,0.00871441,0.0009847997],"domain_scores_gemma":[0.7760605,0.1523834,0.03510922,0.01104432,0.02406542,0.001337166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001785445,0.0003885425,0.1570771,0.6507779,0.02733736,0.002015522,0.005567205,0.0005046917,0.003774885,0.004080423,0.01652937,0.1301615],"study_design_scores_gemma":[0.001403171,0.001945339,0.4915529,0.2205715,0.1027633,0.002990541,0.005850727,0.001820465,0.006868035,0.005019771,0.1588143,0.0003998845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2311071,0.503907,0.02467415,0.004128728,0.001495845,0.0439133,0.1692209,0.0005328761,0.02102008],"genre_scores_gemma":[0.6582205,0.1390238,0.04085939,0.003985079,0.001235886,0.06551347,0.08887567,0.0002520597,0.002034086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05830386,"threshold_uncertainty_score":0.1962386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3513212674673474,"score_gpt":0.5282006283240845,"score_spread":0.1768793608567371,"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."}}