{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261827,0.000371077,0.0003032069,0.0008227967,0.004208194,0.0013042,0.001359304,0.0004391297,0.001598226],"category_scores_gemma":[0.005099165,0.0004704233,0.0003586841,0.002167332,0.001100965,0.0004308451,0.001265192,0.0007264075,0.0001871983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05519299,"about_ca_system_score_gemma":0.07272585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886389,"about_ca_topic_score_gemma":0.9960988,"domain_scores_codex":[0.9975101,0.0003885978,0.0001903212,0.0003259841,0.0009166048,0.0006683308],"domain_scores_gemma":[0.991482,0.0007025327,0.0009968315,0.000157304,0.002786184,0.00387513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002182173,0.0006673967,0.9405366,0.0003358353,0.00009104384,0.001007144,0.008540927,0.0009350767,0.00185922,0.0002164527,0.007196226,0.03839585],"study_design_scores_gemma":[0.00004706988,0.0003822205,0.9871982,0.0001392456,0.0000511238,0.0002043597,0.007281065,0.001454431,0.0003369947,0.00003670487,0.002830499,0.0000380647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914824,0.0009753839,0.0003968426,0.002072548,0.00002631901,0.0003036775,0.0006155936,0.00005301781,0.004074246],"genre_scores_gemma":[0.9956137,0.0007238136,0.001629867,0.0005982101,0.00001464234,0.00007131857,0.0002672077,0.00001205018,0.001069239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05519299,"threshold_uncertainty_score":0.4004551,"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."}}