{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107723,0.001396917,0.001155889,0.001801039,0.0002946516,0.001421872,0.001315122,0.001365527,0.003123132],"category_scores_gemma":[0.01141921,0.0005123616,0.00269409,0.001146348,0.0004134692,0.001503693,0.000877845,0.0009323632,0.00012849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004420216,"about_ca_system_score_gemma":0.003612431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604674,"about_ca_topic_score_gemma":0.0101307,"domain_scores_codex":[0.9979583,0.001307062,0.00009591559,0.0001756906,0.0002053334,0.000257763],"domain_scores_gemma":[0.9945986,0.003978342,0.0007143422,0.000124324,0.0002991669,0.0002851569],"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":[0.00708458,0.001366042,0.01696708,0.0008941274,0.001467495,0.0001725183,0.00005630831,0.9140319,0.0008837163,0.002830238,0.0007434771,0.05350253],"study_design_scores_gemma":[0.003442216,0.01351997,0.02615539,0.0005237815,0.004634348,0.0003623201,0.0003516265,0.9423659,0.001764449,0.004674388,0.002091072,0.0001144993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728084,0.007280565,0.01065639,0.001339642,0.00009373927,0.0006566947,0.001126269,0.00009815457,0.005940179],"genre_scores_gemma":[0.9962584,0.0009385413,0.002190773,0.00007916697,0.000009985405,0.0001241363,0.000227056,0.000003694029,0.000168238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604674,"threshold_uncertainty_score":0.03207111,"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."}}