{"id":"W2090819455","doi":"10.1016/j.carj.2009.12.008","title":"Bowel Preparation Regimen for Computed Tomography Colonography","year":2010,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital","funders":"","keywords":"Medicine; Computed tomography; Regimen; Bowel preparation; Radiology; Tomography; Colonoscopy; Medical physics; Colorectal 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":[0.0004778297,0.0003574827,0.0004150008,0.0002402607,0.0002027479,0.0002198119,0.0001777977,0.0002083298,0.0009974968],"category_scores_gemma":[0.003429291,0.00009069725,0.0002237826,0.000182058,0.0002066893,0.0002196189,0.0001755684,0.0003740917,0.0002679183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814825,"about_ca_system_score_gemma":0.0002609511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002050749,"about_ca_topic_score_gemma":0.000507268,"domain_scores_codex":[0.9996356,0.0001590203,0.00004462323,0.00005540976,0.00007974471,0.00002570662],"domain_scores_gemma":[0.9986625,0.0004507086,0.0004605932,0.0001543099,0.000100888,0.0001710609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02053194,0.0022005,0.5288336,0.001276849,0.0003537555,0.002277525,0.0002714607,0.001341164,0.1215664,0.00009166015,0.001346706,0.3199084],"study_design_scores_gemma":[0.001040634,0.05138979,0.8792204,0.0003965945,0.0006507595,0.01159478,0.0002068369,0.001736524,0.04226585,0.0001037561,0.01132972,0.00006455434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926266,0.003526978,0.002206407,0.0002014041,0.0001427494,0.0001812009,0.00006253912,0.00004978361,0.001002385],"genre_scores_gemma":[0.9933699,0.0008745865,0.004948162,0.0001585506,0.0001344257,0.00009811526,0.0001493791,0.00001217501,0.0002546133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009974968,"threshold_uncertainty_score":0.003336906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119029602388658,"score_gpt":0.2667844702717438,"score_spread":0.2555941742478572,"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."}}