{"id":"W2111834230","doi":"10.1186/1748-5908-9-24","title":"Involving patients in setting priorities for healthcare improvement: a cluster randomized trial","year":2014,"lang":"en","type":"article","venue":"Implementation Science","topic":"Diabetes Management and Education","field":"Medicine","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Abitibi Témiscamingue; Université de Montréal; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Canadian Health Services Research Foundation","keywords":"Medicine; Randomized controlled trial; Health care; Family medicine; Health services research; Health administration; Population; Intervention (counseling); Cluster randomised controlled trial; Nursing; Patient satisfaction; Quality of life (healthcare); Disease management; Patient participation; General partnership; Health informatics; Public health; Disease; Environmental health; Surgery","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":[0.02216043,0.002957325,0.006325414,0.001443159,0.002072542,0.002329239,0.002498764,0.006290787,0.01047406],"category_scores_gemma":[0.02232849,0.001590463,0.00393199,0.001530342,0.004251673,0.003199466,0.002118256,0.004166893,0.001043294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002815385,"about_ca_system_score_gemma":0.007309318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290311,"about_ca_topic_score_gemma":0.003232269,"domain_scores_codex":[0.9702629,0.02267635,0.001551579,0.002651686,0.001450446,0.001407118],"domain_scores_gemma":[0.9813566,0.009575329,0.003172004,0.001809811,0.001298419,0.002787788],"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":[0.9778441,0.01265635,0.0005860303,0.0008938554,0.0009614952,0.00001942783,0.0001460266,0.0003584005,0.0002478369,0.0002184291,0.0003617405,0.005706355],"study_design_scores_gemma":[0.9628752,0.03537748,0.0003932831,0.00006576057,0.0003647142,0.000006319221,0.00004474706,0.0003769283,0.00007563813,0.0002156936,0.0001918272,0.00001252995],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8178804,0.003915548,0.005709248,0.002300259,0.002404609,0.163537,0.0009958814,0.0003708082,0.002886387],"genre_scores_gemma":[0.7649692,0.001270802,0.01726952,0.002093293,0.0008384658,0.2106061,0.000416512,0.00003805806,0.002497907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02216043,"threshold_uncertainty_score":0.1171969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603084217348401,"score_gpt":0.4148858299243697,"score_spread":0.3788549877508857,"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."}}