{"id":"W4411535633","doi":"10.1017/s1463423625100170","title":"Practical strategies for achieving system change in the US: lessons and insights from the CONQUEST quality improvement programme","year":2025,"lang":"en","type":"review","venue":"Primary Health Care Research & Development","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"AstraZeneca","keywords":"Process management; Context (archaeology); Quality management; Accountability; Health care; Quality (philosophy); Identification (biology); Business; Medicine; Computer science; Operations management; Management system; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.05752287,0.001154143,0.001080132,0.003801957,0.007965144,0.01296572,0.004065322,0.006670378,0.003622457],"category_scores_gemma":[0.04772063,0.0004959882,0.002031196,0.004435822,0.01714643,0.01370879,0.01115126,0.01204606,0.0004198468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02162092,"about_ca_system_score_gemma":0.07078544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567437,"about_ca_topic_score_gemma":0.03673494,"domain_scores_codex":[0.9417639,0.04786671,0.001325619,0.001042572,0.003779807,0.004221298],"domain_scores_gemma":[0.9399654,0.04606791,0.001792147,0.002217484,0.005348749,0.004608362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000123363,0.001037422,0.006745603,0.006618242,0.0002066274,0.001465788,0.09768593,0.004583461,0.0004317142,0.2844774,0.08201121,0.5146132],"study_design_scores_gemma":[0.000330244,0.00133653,0.01609134,0.02298688,0.000185693,0.001146629,0.1593116,0.005494332,0.001338648,0.3074217,0.4840833,0.000273272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03959955,0.08157273,0.04725003,0.7588902,0.002815651,0.001825122,0.0002101979,0.000408458,0.06742804],"genre_scores_gemma":[0.6061282,0.1033699,0.1929749,0.0840432,0.001139719,0.003285916,0.0003479886,0.0002446776,0.008465438],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05752287,"threshold_uncertainty_score":0.3042137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8091379284488202,"score_gpt":0.7388033233516251,"score_spread":0.07033460509719502,"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."}}