{"id":"W2784464486","doi":"10.1111/jep.12877","title":"Would you like to add a weight after this blood pressure, doctor?<scp>D</scp>iscovery of potentially actionable associations between the provision of multiple screens in primary care","year":2018,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Public Health Ontario; University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto; University of Toronto; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Cronbach's alpha; Waist; Primary care; Medical record; Body mass index; Lift (data mining); Family medicine; Data mining; Internal medicine; Computer science; Psychometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001383182,0.0001800222,0.0002831422,0.0008434645,0.0009819452,0.0008899557,0.0004553083,0.0005686767,0.04902933],"category_scores_gemma":[0.01184077,0.000160712,0.0002906179,0.001008203,0.0005042391,0.000519441,0.0006950937,0.0006787029,0.005353532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929802,"about_ca_system_score_gemma":0.001939057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07689259,"about_ca_topic_score_gemma":0.1728335,"domain_scores_codex":[0.9991729,0.0002422405,0.00007626661,0.00008681625,0.000305792,0.0001160718],"domain_scores_gemma":[0.9920403,0.002999824,0.001709541,0.0004404262,0.001410847,0.001398916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003012312,0.0002243892,0.6553222,0.0006161564,0.00007866625,0.001238837,0.001220693,0.0002257415,0.0006946455,0.0004139587,0.1753582,0.1643052],"study_design_scores_gemma":[0.00006836686,0.0003248473,0.8998302,0.0004259156,0.00008890974,0.001320506,0.002868674,0.0007723312,0.0004506124,0.0006681994,0.09314509,0.00003633812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.741003,0.00375205,0.003834847,0.09364535,0.001217074,0.0008760752,0.03253408,0.001170708,0.1219668],"genre_scores_gemma":[0.9452402,0.002371989,0.004355749,0.01057552,0.0006265062,0.0002393224,0.005499358,0.00009402537,0.03099729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07689259,"threshold_uncertainty_score":0.1640194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181788076836647,"score_gpt":0.4317998435591109,"score_spread":0.3699819627907444,"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."}}