{"id":"W2810977121","doi":"10.1186/s12913-018-3314-4","title":"Core knowledge translation competencies: a scoping review","year":2018,"lang":"en","type":"review","venue":"BMC Health Services Research","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunny Hill Health Centre for Children; Alberta Innovates; Michael Smith Health Research BC; University of Alberta; University of Victoria","funders":"Michael Smith Health Research BC","keywords":"Nursing research; Health informatics; Medicine; Health administration; Core (optical fiber); Knowledge translation; Public health; Translation (biology); Medical education; Knowledge management; Nursing; Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07898822,0.003089153,0.005633934,0.05770516,0.004125539,0.01127934,0.004655411,0.006266091,0.007455709],"category_scores_gemma":[0.2019664,0.002462428,0.005961902,0.04094996,0.004614071,0.0126959,0.009795289,0.00452395,0.002274462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191152,"about_ca_system_score_gemma":0.07913499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022246,"about_ca_topic_score_gemma":0.01645399,"domain_scores_codex":[0.943694,0.02391219,0.01896778,0.002343372,0.009659393,0.001423341],"domain_scores_gemma":[0.8142125,0.1393599,0.01372828,0.004374479,0.02610411,0.002220696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008174956,0.00008282276,0.0009549425,0.4448863,0.00056844,0.0004272535,0.005222433,0.0006407837,0.0002768605,0.01501811,0.02390907,0.5079312],"study_design_scores_gemma":[0.00001611204,0.00002466277,0.0005545053,0.8989664,0.0005619579,0.0002796342,0.001594651,0.0001467422,0.0001838412,0.003843039,0.09379904,0.00002947511],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001152348,0.965743,0.006355547,0.009624898,0.001480886,0.00316482,0.0008815683,0.00009709457,0.01149981],"genre_scores_gemma":[0.01113396,0.9593061,0.01899365,0.002652335,0.0003981779,0.005380436,0.001130166,0.00005138885,0.0009537069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9887207,"threshold_uncertainty_score":0.4177346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9444051207062458,"score_gpt":0.8054584460091342,"score_spread":0.1389466746971116,"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."}}