{"id":"W2897317105","doi":"10.1002/mgg3.478","title":"Impact of colonoscopic screening in Familial Colorectal Cancer Type X","year":2018,"lang":"en","type":"article","venue":"Molecular Genetics & Genomic Medicine","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Atlantic Canada Opportunities Agency; University of Toronto","keywords":"Medicine; Colorectal cancer; Asymptomatic; Internal medicine; Colonoscopy; Relative risk; Incidence (geometry); Cancer; First-degree relatives; Confidence interval; Risk factor; Oncology; Family history","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":[0.0007050518,0.0002337584,0.0002212237,0.0003042821,0.0002767095,0.0002856731,0.0001431457,0.0003795529,0.001890094],"category_scores_gemma":[0.005129276,0.00007258811,0.0004108568,0.0002024293,0.0002030176,0.0001278802,0.0002476665,0.0002978116,0.00009970017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003850908,"about_ca_system_score_gemma":0.0004525645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00581019,"about_ca_topic_score_gemma":0.006347607,"domain_scores_codex":[0.9994124,0.0002984072,0.00002006114,0.00007033728,0.00009659191,0.0001022024],"domain_scores_gemma":[0.9978234,0.001111848,0.0004512557,0.00006876374,0.000125128,0.000419661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00191248,0.0003715255,0.954547,0.0001346027,0.0002022837,0.0009262583,0.0001057488,0.0005981089,0.001157303,0.00005760463,0.0007776388,0.03920943],"study_design_scores_gemma":[0.00003108018,0.001251138,0.9959232,0.00004514121,0.0001349064,0.001474529,0.00005668854,0.0003617313,0.0002913958,0.00003241646,0.0003944797,0.000003318559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958859,0.002030683,0.00008129764,0.0002651593,0.00001947386,0.000008358719,0.00007616048,0.00001384383,0.001619154],"genre_scores_gemma":[0.9995154,0.00024692,0.00005943715,0.0000376263,0.00001367546,0.000001913419,0.00004890971,8.416023e-7,0.00007527014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00581019,"threshold_uncertainty_score":0.01155275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471637349006734,"score_gpt":0.3470527507623561,"score_spread":0.3223363772722888,"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."}}