{"id":"W2142233649","doi":"10.24095/hpcdp.33.4.07","title":"Knowledge exchange systems for youth health and chronic disease prevention: a tri-provincial case study","year":2013,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Manitoba; University of Waterloo; University of Prince Edward Island; CancerCare Manitoba; University of New Brunswick","funders":"Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Knowledge translation; Adaptation (eye); Process (computing); Data exchange; Knowledge management; Chronic disease; Political science; Medicine; Public relations; Medical education; Psychology; Business; Computer science; Family medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01104168,0.0002453905,0.000362551,0.002175039,0.01697278,0.003171394,0.001943783,0.001214451,0.002659572],"category_scores_gemma":[0.01565731,0.0003145171,0.0004511016,0.004658472,0.003728173,0.001968279,0.004303601,0.00170828,0.0001704658],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03712732,"about_ca_system_score_gemma":0.06132331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6380813,"about_ca_topic_score_gemma":0.7469281,"domain_scores_codex":[0.9897379,0.006711757,0.0003673935,0.0002796551,0.001056598,0.001846704],"domain_scores_gemma":[0.9861087,0.006257653,0.001454428,0.001070216,0.002853187,0.002255869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000367621,0.002157316,0.212052,0.0009901134,0.0000874941,0.01793034,0.6366019,0.004378247,0.00100001,0.04043751,0.006324353,0.07767316],"study_design_scores_gemma":[0.0001300679,0.0005462423,0.06168446,0.0007821968,0.00009862485,0.003162369,0.8840761,0.005640003,0.0007445795,0.003319059,0.03975604,0.0000603084],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713759,0.0005675386,0.003216214,0.003724317,0.00002649522,0.001506596,0.0002371139,0.00002007673,0.01932576],"genre_scores_gemma":[0.9932435,0.0005200551,0.004324161,0.0001558342,0.000005006527,0.0003676901,0.00008785343,0.000004161695,0.00129184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628727,"threshold_uncertainty_score":0.7281003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388247829889152,"score_gpt":0.5417804485955029,"score_spread":0.3029556656065877,"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."}}