{"id":"W2586463909","doi":"10.1200/jco.2014.32.30_suppl.288","title":"The impact of physician use of electronic medical records on colorectal cancer screening.","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Cancer Care Ontario; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Sigmoidoscopy; Colonoscopy; Family medicine; Logistic regression; Medical record; Colorectal cancer; Cohort; Population; Electronic medical record; Propensity score matching; Primary care physician; Cancer; Primary care; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002747653,0.0001271536,0.000133434,0.0006930811,0.0003923143,0.0009767063,0.0004849092,0.0003156595,0.002619709],"category_scores_gemma":[0.03653967,0.0001414285,0.0004565158,0.001905005,0.0003155834,0.000595763,0.0005723531,0.0004102421,0.0001731678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462084,"about_ca_system_score_gemma":0.00298178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.193732,"about_ca_topic_score_gemma":0.2105037,"domain_scores_codex":[0.995797,0.001696908,0.0003840972,0.000311936,0.0014313,0.0003787631],"domain_scores_gemma":[0.9614311,0.01258826,0.02082683,0.00104047,0.002493415,0.00161987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006049435,0.00002160682,0.9955227,0.00002954947,0.0000488822,0.00002694112,0.0000673495,0.00003741418,0.00001652747,0.00001796579,0.000302188,0.003848311],"study_design_scores_gemma":[0.000004720911,0.00002822284,0.9991756,0.00002104344,0.00002442709,0.00006149879,0.000109382,0.0002092019,0.00001632285,0.000007472257,0.0003405299,0.000001571967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875328,0.001855284,0.0001346567,0.002516927,0.00002443401,0.00004521336,0.002870033,0.0000136186,0.005006947],"genre_scores_gemma":[0.9987751,0.0003617173,0.0000939944,0.0001191945,0.00001721856,0.000006941995,0.0004118854,0.000001854329,0.0002119945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193732,"threshold_uncertainty_score":0.3852087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09185485558923423,"score_gpt":0.4702891867459462,"score_spread":0.3784343311567119,"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."}}