{"id":"W62182271","doi":"10.24095/hpcdp.29.2.05","title":"Injury data in British Columbia: policy maker perspectives on knowledge transfer","year":2009,"lang":"en","type":"article","venue":"Chronic diseases in Canada","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Child and Family Research Institute; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Medicine; Psychological intervention; Promotion (chess); Decision maker; Knowledge transfer; Public relations; Health promotion; Knowledge management; Nursing; Public health; Management science; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1590736,0.0004092143,0.0009677163,0.005879262,0.03556539,0.03040417,0.005409317,0.006404225,0.006944167],"category_scores_gemma":[0.2308065,0.001184973,0.0006764631,0.01242706,0.01645438,0.009940026,0.01553373,0.007688197,0.0003458236],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1472091,"about_ca_system_score_gemma":0.2953557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9337928,"about_ca_topic_score_gemma":0.9177203,"domain_scores_codex":[0.8439808,0.1062287,0.007855661,0.003603537,0.01811585,0.0202154],"domain_scores_gemma":[0.6499428,0.2845769,0.007525054,0.006886903,0.03835333,0.012715],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004050321,0.0003928288,0.07915387,0.001429619,0.0001262294,0.004647208,0.576717,0.002943188,0.001200504,0.07844909,0.03039914,0.2241363],"study_design_scores_gemma":[0.0001283922,0.0001818719,0.03756672,0.002031442,0.0001007013,0.0003477953,0.8046142,0.002536071,0.0008074432,0.02586289,0.1255974,0.0002250273],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3756536,0.0038292,0.003622478,0.5023286,0.0002472734,0.001133706,0.0006524442,0.00005682766,0.1124759],"genre_scores_gemma":[0.9799543,0.001814437,0.003635574,0.009703657,0.00005103633,0.0002935594,0.0001661779,0.00001866451,0.004362564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8527909,"threshold_uncertainty_score":0.9891165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1857063670787006,"score_gpt":0.5626303231784003,"score_spread":0.3769239560996998,"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."}}