{"id":"W2023841855","doi":"10.1503/cmaj.100986","title":"Mathematical models and cost-effective screening strategies for colorectal cancer","year":2010,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Colorectal cancer screening; Medicine; Cancer; Computer science; Family medicine; Information retrieval; Internal medicine; Colonoscopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001152539,0.0005643048,0.0004996279,0.0005255137,0.000396772,0.00124963,0.001171167,0.002869747,0.006697776],"category_scores_gemma":[0.01393571,0.0002965392,0.0005343293,0.0004872244,0.001170492,0.002621582,0.0006032616,0.004722056,0.0006785965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003497825,"about_ca_system_score_gemma":0.001231812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322124,"about_ca_topic_score_gemma":0.00525046,"domain_scores_codex":[0.9994549,0.0003605839,0.00001557441,0.00003536378,0.0000898714,0.00004372011],"domain_scores_gemma":[0.9940867,0.005180884,0.0002686139,0.00009667231,0.0002684098,0.00009857862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001036058,0.00006840645,0.0006652846,0.0002096502,0.00006133557,0.000259976,0.00008407848,0.08146302,0.0001620108,0.8290802,0.05872193,0.02912051],"study_design_scores_gemma":[0.00006753373,0.00004300338,0.0003074741,0.0001027689,0.00001916677,0.0001744628,0.00005409359,0.09802843,0.00008103429,0.8795645,0.02153967,0.00001781325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02208081,0.03114952,0.1743489,0.6821406,0.003892926,0.00008495522,0.000645591,0.0001211271,0.08553562],"genre_scores_gemma":[0.8624891,0.03999993,0.03131314,0.02790966,0.00557926,0.0003384189,0.0002831754,0.0001113344,0.03197604],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006697776,"threshold_uncertainty_score":0.02537858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125105892755071,"score_gpt":0.2906447038209711,"score_spread":0.2693936448934204,"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."}}