{"id":"W4395455932","doi":"10.1053/j.gastro.2024.04.014","title":"Measuring Postcolonoscopy Colorectal Cancers: Variations in Methodology to Address Indicator Timeliness and Use in High-Risk Populations","year":2024,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Toronto; Public Health Ontario; Sunnybrook Health Science Centre","funders":"Purdue Climate Change Research Center, Purdue University","keywords":"Colonoscopy; Colorectal cancer; Medicine; Internal medicine; Oncology; Cancer","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08376113,0.0006638222,0.0009048312,0.003239624,0.0005795186,0.002184978,0.002117689,0.0009927872,0.001049472],"category_scores_gemma":[0.1818961,0.000509024,0.001904384,0.006144503,0.0006432861,0.001459431,0.002040543,0.001300396,0.0003032812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003351,"about_ca_system_score_gemma":0.002881973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226357,"about_ca_topic_score_gemma":0.01809618,"domain_scores_codex":[0.8980944,0.0766875,0.01123335,0.004254126,0.008327028,0.001403627],"domain_scores_gemma":[0.8335372,0.09144561,0.03201171,0.01950149,0.02175735,0.001746597],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003925439,0.0001853577,0.9282972,0.0004744985,0.0009912431,0.0000196299,0.001735855,0.001554238,0.001451046,0.0008199692,0.001484937,0.06259349],"study_design_scores_gemma":[0.00006209246,0.0006250353,0.9802954,0.0003663223,0.0004411478,0.0001408558,0.001095999,0.006761815,0.00378905,0.0007938941,0.005558098,0.00007027856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224695,0.005102477,0.1497279,0.003980697,0.0006314465,0.002388319,0.005329978,0.000443325,0.009926273],"genre_scores_gemma":[0.8912632,0.001339058,0.1004998,0.00089065,0.000138218,0.002414823,0.002412151,0.0002017219,0.0008403563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9162388,"threshold_uncertainty_score":0.4429765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07307090059781093,"score_gpt":0.3287739847835,"score_spread":0.255703084185689,"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."}}