{"id":"W2788766073","doi":"10.1053/j.gastro.2018.02.021","title":"Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors","year":2018,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":339,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; National Human Genome Research Institute; Bundesministerium für Bildung und Forschung; National Institute on Aging; Deutsche Forschungsgemeinschaft","keywords":"Family history; Medicine; Colorectal cancer; Epidemiology; Population; Demography; Risk assessment; Gerontology; Cancer; Environmental health; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005410513,0.0003137989,0.0003387464,0.0008640022,0.0003775735,0.0004934081,0.0002812111,0.0006941752,0.002351883],"category_scores_gemma":[0.003879668,0.0002512994,0.0006230854,0.0007117005,0.0001683539,0.0004099788,0.0002449891,0.000693544,0.0003755297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529786,"about_ca_system_score_gemma":0.0004186947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005260119,"about_ca_topic_score_gemma":0.01110327,"domain_scores_codex":[0.9996314,0.0001159546,0.00003776577,0.00006078957,0.00008204992,0.00007195007],"domain_scores_gemma":[0.9978036,0.0007484525,0.0005896472,0.0001005798,0.0001792844,0.0005784128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001197418,0.00006669488,0.9982458,0.000004703721,0.00002275125,0.00004648103,0.00002057642,0.00002958112,0.000164687,0.000007734451,0.00004033785,0.001230964],"study_design_scores_gemma":[0.000004306435,0.0001727761,0.9989687,0.000007131218,0.00003603173,0.0001845783,0.00006002772,0.0003287967,0.0001004778,0.00002344618,0.000111003,0.000002776035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966097,0.000541908,0.0002729467,0.0001427696,0.00001717499,0.00001700949,0.0002898172,0.00001676394,0.002091854],"genre_scores_gemma":[0.9984062,0.0002034355,0.0004935384,0.0000427928,0.0000152395,0.00000707912,0.0002723241,0.000004488636,0.0005548703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005260119,"threshold_uncertainty_score":0.01045901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247540470565345,"score_gpt":0.246552555623605,"score_spread":0.2340771509179515,"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."}}