{"id":"W4213230648","doi":"10.1186/s13012-022-01194-8","title":"Optimizing responsiveness to feedback about antibiotic prescribing in primary care: protocol for two interrelated randomized implementation trials with embedded process evaluations","year":2022,"lang":"en","type":"article","venue":"Implementation Science","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Public Health Ontario; University of Toronto; Women's College Hospital","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Medicine; Randomized controlled trial; Medical prescription; Intervention (counseling); Audit; Family medicine; Academic detailing; Public health; Protocol (science); Health administration; Health care; Cluster randomised controlled trial; Alternative medicine; Nursing; Internal medicine","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":[0.1113222,0.01160274,0.01631272,0.005559855,0.005875189,0.007545563,0.006058834,0.01207418,0.09701526],"category_scores_gemma":[0.1181391,0.005622912,0.01229501,0.007463719,0.00671145,0.005766564,0.00468013,0.01479623,0.01950532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01422331,"about_ca_system_score_gemma":0.03254591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004568169,"about_ca_topic_score_gemma":0.006631334,"domain_scores_codex":[0.9011633,0.06447218,0.01378653,0.005833899,0.007842953,0.006901134],"domain_scores_gemma":[0.9291733,0.02434685,0.01361625,0.0109688,0.01688999,0.005004897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7108468,0.01962912,0.001369991,0.09360749,0.005502705,0.0006900448,0.002737147,0.0080627,0.003262049,0.017524,0.04940246,0.0873654],"study_design_scores_gemma":[0.84191,0.03133541,0.002206232,0.01700044,0.002286858,0.0001197419,0.0005103131,0.005286296,0.002373808,0.01059731,0.08606561,0.0003079173],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002338884,0.00005978124,0.0007378899,0.00006343201,0.0001132391,0.9983141,0.0002383011,0.0000418606,0.0001974808],"genre_scores_gemma":[0.0002023283,0.00002978937,0.001043205,0.00002853272,0.000008555939,0.9985728,0.00002764012,0.000002116788,0.00008509478],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1113222,"threshold_uncertainty_score":0.588735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07140061285184186,"score_gpt":0.4701567760621247,"score_spread":0.3987561632102828,"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."}}