{"id":"W2473322218","doi":"10.1177/1555343416657237","title":"Training Change Agents in CTA to Bring Health Care Transformation to Scale","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Task (project management); Transformational leadership; Scale (ratio); Health care; Medical education; Interview; Motivational interviewing; Computer science; Applied psychology; Psychology; Intervention (counseling); Nursing; Knowledge management; Process management; Medicine; Engineering; Social psychology","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":[0.02400491,0.0008492623,0.000467594,0.001547981,0.003980714,0.00410403,0.002277,0.001973127,0.0093163],"category_scores_gemma":[0.05017813,0.001099933,0.0006226633,0.001021994,0.00170245,0.003183626,0.006812421,0.004990408,0.003037923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003466155,"about_ca_system_score_gemma":0.01589498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003930444,"about_ca_topic_score_gemma":0.01475834,"domain_scores_codex":[0.9855394,0.009797769,0.0005387714,0.001052412,0.001703352,0.001368255],"domain_scores_gemma":[0.9517872,0.02325017,0.003144197,0.004628026,0.006790929,0.01039949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005537034,0.01551041,0.03427797,0.001297509,0.00009064865,0.000878754,0.1304859,0.005983568,0.01461541,0.009313804,0.0626144,0.7243779],"study_design_scores_gemma":[0.001866507,0.009966764,0.08978447,0.002527585,0.0002519066,0.001659087,0.10217,0.03907264,0.02404565,0.03159701,0.6964602,0.0005981672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490019,0.0007116551,0.3614542,0.04220554,0.001301777,0.01796369,0.0003806677,0.006454029,0.0795095],"genre_scores_gemma":[0.4430396,0.0006601148,0.5298639,0.003589268,0.0002835187,0.006264655,0.0002801977,0.0002449451,0.01577381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400491,"threshold_uncertainty_score":0.1269517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5271666404804437,"score_gpt":0.6279348470391299,"score_spread":0.1007682065586862,"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."}}