{"id":"W2063340092","doi":"10.15273/dmj.vol40no2.4534","title":"The Role of Computed Tomographic Colonography in Colorectal Cancer Screening","year":2014,"lang":"en","type":"article","venue":"Dalhousie Medical Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Computed tomographic; Radiology; Virtual colonoscopy; Medical physics; MEDLINE; Colorectal Polyp; SAFER; Cancer; Internal medicine; Computed tomography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001678667,0.0001302021,0.0003354996,0.0002839143,0.0002513387,0.00003147533,0.0002067978,0.0001541565,0.00007738239],"category_scores_gemma":[0.0005237117,0.0000867113,0.0001903186,0.0006047696,0.0002741833,0.00004834554,0.00005714014,0.001079254,0.000001287169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003784269,"about_ca_system_score_gemma":0.0002033804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080569,"about_ca_topic_score_gemma":0.0007567341,"domain_scores_codex":[0.9979004,0.0002251348,0.0004885056,0.0001635222,0.0008756008,0.0003468082],"domain_scores_gemma":[0.9987984,0.0003854461,0.000199803,0.0001143082,0.0001516166,0.0003503867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003485678,0.000125984,0.2764144,0.00001808816,0.0001305146,0.00004062316,0.0003284478,0.00005712153,0.001457357,0.0001919983,0.0004198298,0.7173299],"study_design_scores_gemma":[0.004962253,0.004160815,0.8889433,0.0009237741,0.0001218726,0.001408876,0.0004830188,0.05179356,0.004710556,0.0009237222,0.04131382,0.0002544302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913783,0.001852905,0.002791538,0.0017075,0.0004612028,0.0001505843,0.000002001004,0.00004385153,0.001612113],"genre_scores_gemma":[0.9982575,0.0003219619,0.0005174666,0.0002666047,0.0005912034,0.00001716162,0.000002240466,0.000016253,0.000009567541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7170755,"threshold_uncertainty_score":0.4688879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079369236785793,"score_gpt":0.2593863462638617,"score_spread":0.2514494225852824,"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."}}