{"id":"W4383383573","doi":"10.1016/s0016-5085(23)01038-7","title":"205 MEASURING POST-COLONOSCOPY COLORECTAL CANCERS IN ONTARIO, CANADA: ADDRESSING INDICATOR TIMELINESS AND IMPACT OF HIGH-RISK POPULATIONS","year":2023,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; General surgery; Oncology; Internal medicine; Environmental health; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001603619,0.0003703898,0.0003966964,0.001893042,0.001800543,0.001468722,0.001583619,0.0004745683,0.001814734],"category_scores_gemma":[0.008465024,0.000350619,0.0006791299,0.005706511,0.0004696046,0.0005688203,0.00101069,0.0007163143,0.0001933306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04877716,"about_ca_system_score_gemma":0.09320964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974586,"about_ca_topic_score_gemma":0.998862,"domain_scores_codex":[0.997692,0.0003345585,0.0002097038,0.0002133378,0.0009146307,0.0006358899],"domain_scores_gemma":[0.9911254,0.0008148642,0.001969227,0.0001916283,0.004154242,0.001744665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006967694,0.00004170015,0.9761394,0.0002670109,0.00008450359,0.0000554883,0.0006430515,0.0004720573,0.00014943,0.0001888383,0.006724462,0.01516446],"study_design_scores_gemma":[0.000006405226,0.00002295445,0.9964727,0.00007122676,0.00003045859,0.00001508786,0.0007876043,0.0004905937,0.00005794147,0.00002413322,0.002012271,0.000008702555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340652,0.006014448,0.001572849,0.00832441,0.0001771864,0.0004101787,0.03182469,0.0001354222,0.01747561],"genre_scores_gemma":[0.9888868,0.001997919,0.002099536,0.0006821515,0.00003739948,0.0001140616,0.003860909,0.00002111836,0.002300186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04877716,"threshold_uncertainty_score":0.3539047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912391786020769,"score_gpt":0.2796811195082242,"score_spread":0.2505572016480165,"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."}}