{"id":"W2071941374","doi":"10.1053/j.gastro.2014.06.008","title":"Risk Stratification for Advanced Colorectal Neoplasia According to Fecal Hemoglobin Concentration in a Colorectal Cancer Screening Program","year":2014,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Instituto de Salud Carlos III; Ministerio de Economía y Competitividad; AGE-WELL","keywords":"Interquartile range; Odds ratio; Colorectal cancer; Medicine; Colonoscopy; Confidence interval; Internal medicine; Gastroenterology; Feces; Retrospective cohort study; Logistic regression; Oncology; Cancer; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007803187,0.0003246447,0.0004896162,0.001182649,0.0006357118,0.0006295227,0.0004447866,0.0007096436,0.0009899965],"category_scores_gemma":[0.004218051,0.0002995543,0.0006651443,0.001268902,0.0003112983,0.0004838232,0.0004292068,0.0008253983,0.0001132728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474233,"about_ca_system_score_gemma":0.0008511108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034942,"about_ca_topic_score_gemma":0.01202394,"domain_scores_codex":[0.9993168,0.0002703115,0.00005851268,0.00008130928,0.0001339848,0.0001391141],"domain_scores_gemma":[0.9980528,0.0005628351,0.0004237308,0.00008528025,0.0001788172,0.0006966013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002722481,0.00009912804,0.9984781,0.000002333221,0.00003068364,0.00006121096,0.00001715418,0.00004644669,0.00008390076,0.000008323747,0.00004651318,0.0008539192],"study_design_scores_gemma":[0.00002730634,0.0004218326,0.9978544,0.000005056717,0.00008839639,0.0001646717,0.0001329945,0.001151312,0.00005746568,0.00003906446,0.00005324138,0.000004192369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991816,0.0001559313,0.00008439877,0.0001338378,0.00001298013,0.000009017777,0.00005312562,0.000003951028,0.0003650811],"genre_scores_gemma":[0.999661,0.00004466029,0.00008995827,0.00002942301,0.00001603371,0.000002689533,0.00006747111,0.000001131771,0.00008760922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034942,"threshold_uncertainty_score":0.02057838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156075278477798,"score_gpt":0.2976070865900017,"score_spread":0.2860463338052238,"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."}}