{"id":"W2412489760","doi":"10.1002/cncr.30091","title":"Cost‐effectiveness of alternative colonoscopy surveillance strategies to mitigate metachronous colorectal cancer incidence","year":2016,"lang":"en","type":"article","venue":"Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Center for Advancing Translational Sciences; National Science Foundation; National Institutes of Health; Division of Civil, Mechanical and Manufacturing Innovation; National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Guideline; Colonoscopy; Colorectal cancer; Incidence (geometry); Internal medicine; Cancer; Intensive care medicine; Emergency medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326524,0.0002083756,0.000512249,0.0001172972,0.00006227237,0.00001794282,0.0001320877,0.00008502571,0.0001400025],"category_scores_gemma":[0.000139564,0.0001494374,0.0001030199,0.0004010795,0.0001795829,0.000179578,0.00005772062,0.0001186925,0.00001757961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008171549,"about_ca_system_score_gemma":0.0007041718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271757,"about_ca_topic_score_gemma":0.002893455,"domain_scores_codex":[0.9985416,0.0001505941,0.00025106,0.0004342423,0.0003003634,0.0003221599],"domain_scores_gemma":[0.9986739,0.0003419029,0.0001534306,0.0002053419,0.0004400917,0.000185315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04036913,0.0001143611,0.1118618,0.0004676941,0.0005803181,0.0000407323,0.001020566,0.002056121,0.7675817,0.0003029265,0.0005008495,0.0751038],"study_design_scores_gemma":[0.001890302,0.00283217,0.3341747,0.001026697,0.00006796388,0.00001417637,0.00009259018,0.0001519029,0.6581602,0.000144704,0.001206462,0.0002380965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888467,0.001527617,0.006350935,0.0004468056,0.0008230305,0.00102327,0.0001478873,0.00008409999,0.0007496547],"genre_scores_gemma":[0.9977739,0.0003866063,0.0001495285,0.00008990823,0.0002355991,0.001153049,0.000002543607,0.00002918077,0.000179662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223129,"threshold_uncertainty_score":0.6457647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405977989076545,"score_gpt":0.3549151247200898,"score_spread":0.3208553448293243,"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."}}