{"id":"W2166999007","doi":"10.1287/msom.2014.0484","title":"Optimizing Colonoscopy Screening for Colorectal Cancer Prevention and Surveillance","year":2014,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Colorectal cancer screening; Cancer screening; Intensive care medicine; Cancer; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001861337,0.0005218108,0.00061776,0.0004364274,0.0002630421,0.0009694559,0.0005743333,0.0008722537,0.002719733],"category_scores_gemma":[0.007573958,0.0003846245,0.0005634707,0.0004145437,0.0005029061,0.00110663,0.0006196499,0.0008317608,0.0002731317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205805,"about_ca_system_score_gemma":0.003571653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036381,"about_ca_topic_score_gemma":0.009534371,"domain_scores_codex":[0.9984479,0.0008588016,0.0000429897,0.0002005484,0.0001284227,0.0003212754],"domain_scores_gemma":[0.9972619,0.001806192,0.000512889,0.00008637201,0.0001300841,0.0002026471],"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":[0.0003259213,0.0001834243,0.01735684,0.00008667699,0.00007668333,0.0001168574,0.00006218735,0.940626,0.001255635,0.01864881,0.001383178,0.0198777],"study_design_scores_gemma":[0.00005974712,0.0002276919,0.006406881,0.00003055668,0.00005195025,0.0000560787,0.00008505087,0.9719491,0.0006438115,0.01939757,0.001072418,0.00001914556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6822225,0.001176561,0.2933246,0.007412749,0.0001076596,0.0003563213,0.001124167,0.0002337494,0.01404165],"genre_scores_gemma":[0.9840478,0.0003886446,0.01364879,0.0001708919,0.00002140948,0.00004878218,0.000148851,0.000009500654,0.001515303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036381,"threshold_uncertainty_score":0.02060699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799130174477164,"score_gpt":0.285303055462734,"score_spread":0.2673117537179623,"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."}}