{"id":"W2734790762","doi":"10.2147/clep.s136565","title":"Fecal occult blood versus DNA testing: indirect comparison in a colorectal cancer screening population","year":2017,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Colonoscopy; Colorectal cancer; Internal medicine; Gastroenterology; Gold standard (test); Fecal occult blood; Cutoff; Colorectal cancer screening; Population; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003875635,0.0002242671,0.001547266,0.0001233433,0.0003033342,0.00001900451,0.0002127089,0.0005781119,0.00004525643],"category_scores_gemma":[0.06682131,0.0002012025,0.0002610772,0.0001715669,0.0003356061,0.0001001872,0.0001492534,0.001073847,0.00001821699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135897,"about_ca_system_score_gemma":0.0001218026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005834972,"about_ca_topic_score_gemma":0.0045968,"domain_scores_codex":[0.996354,0.0008136182,0.001470127,0.000694031,0.0001476334,0.000520586],"domain_scores_gemma":[0.990856,0.007392767,0.0009297616,0.0004237545,0.0001168553,0.0002808571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008552543,0.0001566726,0.8987319,0.00001810394,0.00009624461,0.00002354662,0.00002530133,0.0001421574,0.0001059743,0.00002923431,0.0002482556,0.09187005],"study_design_scores_gemma":[0.005599076,0.004175709,0.9703829,0.0001907627,0.0001854513,0.00002681406,0.00002033813,0.01852582,0.0001817367,0.0001461097,0.0003750634,0.0001902624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994022,0.000361314,0.0002949268,0.001535514,0.001712428,0.0003581373,0.000007025303,0.0001396413,0.001568986],"genre_scores_gemma":[0.9938015,0.00005118761,0.004484796,0.0004254683,0.001056857,0.00007608229,0.00003350023,0.00002322479,0.00004735245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09167979,"threshold_uncertainty_score":0.9410393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4115441886125704,"score_gpt":0.5179444256739547,"score_spread":0.1064002370613843,"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."}}