{"id":"W2077282275","doi":"10.1016/j.socscimed.2012.06.016","title":"Deliberative dialogues as a mechanism for knowledge translation and exchange in health systems decision-making","year":2012,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":258,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Health Services Research Foundation; U.S. Environmental Protection Agency","keywords":"Knowledge translation; Relation (database); Computer science; Key (lock); Field (mathematics); Psychological intervention; Order (exchange); Term (time); Translation (biology); Management science; Knowledge management; Sociology; Psychology; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0799101,0.001615537,0.00246944,0.005180047,0.002100572,0.009223351,0.004140494,0.006441529,0.006166428],"category_scores_gemma":[0.09962156,0.001044763,0.00183066,0.006463949,0.01485498,0.01392369,0.009542587,0.00631616,0.001075502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00559693,"about_ca_system_score_gemma":0.01876597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299887,"about_ca_topic_score_gemma":0.002919087,"domain_scores_codex":[0.874425,0.110343,0.004176598,0.001654764,0.007905246,0.001495515],"domain_scores_gemma":[0.7558095,0.229814,0.005589878,0.004415196,0.003588289,0.0007831494],"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":[0.0001753359,0.0001935566,0.0004229972,0.03070677,0.0005765756,0.0002100028,0.009854664,0.003194834,0.0003235136,0.3151714,0.00671118,0.6324591],"study_design_scores_gemma":[0.0002291652,0.0002201472,0.0008992329,0.04380019,0.0007189651,0.0003511165,0.005538444,0.002365084,0.001657947,0.6640574,0.280045,0.0001173406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007221656,0.7621576,0.1058871,0.05706922,0.002174236,0.001047187,0.0001362414,0.0001688969,0.06413786],"genre_scores_gemma":[0.2824436,0.5909868,0.106612,0.008911388,0.00135607,0.003409007,0.000224559,0.00008473927,0.005971867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0799101,"threshold_uncertainty_score":0.42261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7662604328517392,"score_gpt":0.7038643526396194,"score_spread":0.06239608021211973,"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."}}