{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01220901,0.0009037753,0.002984267,0.01353205,0.0006883296,0.003691845,0.001524584,0.002108131,0.002451905],"category_scores_gemma":[0.07600863,0.0006709162,0.002513059,0.0153621,0.001351152,0.002882191,0.0008528214,0.001045052,0.000252415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008626959,"about_ca_system_score_gemma":0.01937973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05768649,"about_ca_topic_score_gemma":0.1192803,"domain_scores_codex":[0.9851118,0.005917819,0.003667284,0.0008048613,0.004209031,0.0002891902],"domain_scores_gemma":[0.9123036,0.06329147,0.01319313,0.0005430959,0.0101313,0.0005374879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0004817229,0.00005778269,0.009334815,0.5635676,0.002743274,0.0004624081,0.0003276808,0.0004780689,0.0003037018,0.001266664,0.005422203,0.415554],"study_design_scores_gemma":[0.0002436444,0.000453963,0.03254237,0.8871639,0.01444137,0.003178925,0.0008293731,0.0005058603,0.0004735618,0.0007917505,0.05929204,0.00008326998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0003578647,0.9988544,0.00003122476,0.0003891401,0.00005665468,0.00001293937,0.00002707853,9.297949e-7,0.0002696729],"genre_scores_gemma":[0.01109534,0.9877593,0.0004362439,0.0004051125,0.0001837166,0.00003324098,0.00004166145,0.000001608739,0.00004377957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05768649,"threshold_uncertainty_score":0.1147014,"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."}}