{"id":"W3165031815","doi":"10.1186/s12876-021-01965-5","title":"Multivariable models for advanced colorectal neoplasms in screen-eligible individuals at low-to-moderate risk of colorectal cancer: towards improving colonoscopy prioritization.","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Ottawa Hospital; Hospital for Sick Children; University of Ottawa","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada; Canadian Association of Gastroenterology; Ontario Ministry of Health and Long-Term Care; Canadian Child Health Clinician Scientist Program","keywords":"Colonoscopy; Medicine; Colorectal cancer; Logistic regression; Internal medicine; Population; Oncology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006067417,0.0007920616,0.0007497836,0.001337947,0.0003954064,0.001280816,0.001706342,0.0007847717,0.00289015],"category_scores_gemma":[0.01701802,0.0004825865,0.002112913,0.001156782,0.0002288464,0.0006135601,0.001028761,0.001914181,0.0005358347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475287,"about_ca_system_score_gemma":0.002278964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05306122,"about_ca_topic_score_gemma":0.05753007,"domain_scores_codex":[0.9978783,0.001422885,0.0000846524,0.0002792497,0.0001690546,0.0001658826],"domain_scores_gemma":[0.9917358,0.006071135,0.0009354799,0.0002885643,0.0007066432,0.0002624133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009283017,0.0004701406,0.4601368,0.0002648853,0.002358681,0.0004190765,0.0004539264,0.4805174,0.000701441,0.003460665,0.008300185,0.04198839],"study_design_scores_gemma":[0.00007127532,0.0001689711,0.03269082,0.00003983382,0.000288615,0.0001141339,0.0001205315,0.961746,0.0001255885,0.002710214,0.001897039,0.00002706129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769308,0.002385424,0.2083665,0.007194147,0.0002659367,0.0004497463,0.008189002,0.001510817,0.002330319],"genre_scores_gemma":[0.9643448,0.0004187724,0.02928078,0.0004161492,0.0001219154,0.0001761715,0.003373883,0.00007701224,0.001790451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05306122,"threshold_uncertainty_score":0.1055048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677875205373065,"score_gpt":0.2645609638075429,"score_spread":0.2477822117538123,"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."}}