{"id":"W2803092991","doi":"10.2196/humanfactors.9030","title":"Designing for Clinical Change: Creating an Intervention to Implement New Statin Guidelines in a Primary Care Clinic","year":2018,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Quality Enhancement Research Initiative; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Veterans Affairs; Psychological intervention; Medicine; Statin; Primary care; Intervention (counseling); Family medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005378709,0.0002099391,0.0004199276,0.0003752414,0.0009480354,0.00003639876,0.0003801247,0.000156186,0.00119945],"category_scores_gemma":[0.002061191,0.000194257,0.0001073532,0.0003901466,0.00004709202,0.0004130274,0.0002071327,0.0003434641,0.0001555565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006543371,"about_ca_system_score_gemma":0.00071061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770894,"about_ca_topic_score_gemma":0.01539532,"domain_scores_codex":[0.994052,0.001223871,0.002798389,0.0005944716,0.0003893856,0.0009419139],"domain_scores_gemma":[0.9960856,0.00152279,0.0007345703,0.0003964267,0.0006775137,0.0005831002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009672,0.00005600388,0.7416381,0.0004248013,0.000008235476,5.596724e-7,0.1687878,2.29123e-7,0.000346244,0.00007919982,0.04015002,0.04841218],"study_design_scores_gemma":[0.002920385,0.002250787,0.8722397,0.0006190652,0.000009972457,1.013066e-7,0.04847065,0.00001817586,0.00009704888,0.0001283217,0.07298238,0.000263409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874885,0.00001087765,0.004645017,0.001245019,0.0006735839,0.005270034,0.0001294896,0.0001100703,0.0004273895],"genre_scores_gemma":[0.9389398,0.000005849161,0.0325089,0.02124016,0.003176091,0.002353746,0.0002850443,0.00006850316,0.001421913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306017,"threshold_uncertainty_score":0.9997136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8919590108002918,"score_gpt":0.7819928847574863,"score_spread":0.1099661260428055,"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."}}