{"id":"W2609516957","doi":"10.1136/bmjquality.u213991.w5531","title":"Measuring and improving cervical, breast, and colorectal cancer screening rates in a multi-site urban practice in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"BMJ Quality Improvement Reports","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Fecal occult blood; Audit; Family medicine; Colorectal cancer; Breast cancer; Population; Intervention (counseling); Cancer screening; Cervical cancer; Cancer; Gynecology; Internal medicine; Colonoscopy; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427142,0.0002369239,0.0004959971,0.00004302213,0.0002428223,0.0001738089,0.00008233092,0.00009750181,0.00002359324],"category_scores_gemma":[0.001710359,0.0002266261,0.00003557779,0.00005665073,0.00008178566,0.0007978064,0.0002468548,0.0002709423,9.395388e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244612,"about_ca_system_score_gemma":0.001147049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989255,"about_ca_topic_score_gemma":0.9849621,"domain_scores_codex":[0.997297,0.00008951924,0.0009259197,0.0006195322,0.0005924879,0.000475533],"domain_scores_gemma":[0.9981817,0.0001172991,0.0008120412,0.0004542643,0.0001830217,0.0002516703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003750211,0.00006034052,0.9372194,0.0002132551,0.0000412339,0.00130623,0.0009014971,0.000005372377,0.01096398,0.000006862451,0.00005193631,0.04885484],"study_design_scores_gemma":[0.001730969,0.0001148134,0.9899567,0.0006026714,0.00005415748,0.0005675601,0.003731011,0.001026212,0.001650431,0.00000517258,0.0002773228,0.0002830066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942107,0.001933047,0.00005320324,0.001940463,0.0001600494,0.001023157,0.00001586602,0.00001942758,0.0006440802],"genre_scores_gemma":[0.9973856,0.00009254707,0.001359815,0.0007903189,0.000112161,0.0001422333,0.000007767389,0.00001743864,0.00009209831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05273725,"threshold_uncertainty_score":0.9241544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021999559786341,"score_gpt":0.4160684994309712,"score_spread":0.3138685434523371,"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."}}