{"id":"W2591999938","doi":"10.1038/bjc.2017.53","title":"Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records","year":2017,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Women's College Hospital","funders":"","keywords":"Medicine; Colorectal cancer; Odds ratio; Odds; Internal medicine; Blood test; Cancer; Population; Surgery; Oncology; Logistic regression; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00164558,0.00007812068,0.0004290611,0.00005368555,0.0001547302,0.00003628729,0.0001636136,0.00005230849,0.0001425839],"category_scores_gemma":[0.0009765844,0.00006974105,0.00006561268,0.0001517194,0.000130463,0.0002015322,0.00002953912,0.0003188032,4.725957e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228819,"about_ca_system_score_gemma":0.001180682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06238601,"about_ca_topic_score_gemma":0.0374668,"domain_scores_codex":[0.9983225,0.0001643082,0.0006677901,0.0001327377,0.0005567643,0.0001558345],"domain_scores_gemma":[0.9971516,0.0001355928,0.001853079,0.0001582535,0.0006413353,0.00006011068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003410957,0.0000410651,0.5116344,0.0001514446,0.0001608546,0.00001485337,0.001500437,0.0008274672,0.01242422,8.412918e-7,0.003134313,0.4666991],"study_design_scores_gemma":[0.004727019,0.002861021,0.9388917,0.01099273,0.0002098227,0.00006950818,0.002273155,0.005718529,0.03246821,0.0001012194,0.001529319,0.0001577251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753296,0.02238778,0.0001902281,0.001109662,0.0004519119,0.0001974206,0.0002586053,0.00000497876,0.00006975124],"genre_scores_gemma":[0.9936086,0.005653632,0.0003836259,0.0000805138,0.0002042414,0.00001301284,0.000001428855,0.0000127825,0.00004214292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4665414,"threshold_uncertainty_score":0.9800969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384627535080266,"score_gpt":0.3520522117668468,"score_spread":0.3282059364160441,"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."}}