{"id":"W2172534861","doi":"10.1111/acem.12830","title":"Knowledge Translation and Barriers to Imaging Optimization in the Emergency Department: A Research Agenda","year":2015,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health; Alberta Health Services","funders":"National Heart, Lung, and Blood Institute; National Institute of Biomedical Imaging and Bioengineering; Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Psychological intervention; Medicine; Emergency department; Knowledge translation; Multidisciplinary approach; Health care; Clinical decision support system; MEDLINE; Medical education; Nursing; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2623529,0.001361725,0.003092773,0.003637005,0.00551469,0.02217916,0.008000606,0.009850446,0.008618293],"category_scores_gemma":[0.4903474,0.001719474,0.002072741,0.006472566,0.01352397,0.03774532,0.01624316,0.01376665,0.001257738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230307,"about_ca_system_score_gemma":0.1383037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174415,"about_ca_topic_score_gemma":0.009082205,"domain_scores_codex":[0.7329543,0.203816,0.01968822,0.00888628,0.02268191,0.01197337],"domain_scores_gemma":[0.2653258,0.6401116,0.02879742,0.01736801,0.03659028,0.01180688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00052663,0.003183957,0.07584608,0.03230898,0.0005426438,0.001318054,0.1507948,0.002886984,0.001071498,0.08668157,0.02550668,0.6193321],"study_design_scores_gemma":[0.0007064773,0.00217716,0.04481586,0.1274367,0.0008823836,0.001203864,0.4460652,0.01411057,0.003148458,0.2145668,0.1443463,0.0005401975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07936506,0.02475487,0.02225866,0.8552765,0.001464888,0.002503307,0.0002725733,0.0001530762,0.01395107],"genre_scores_gemma":[0.7750291,0.03725963,0.103851,0.07310225,0.001447257,0.007230475,0.0004968781,0.0001300923,0.001453201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2623529,"threshold_uncertainty_score":0.9096502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977392273237975,"score_gpt":0.450162716801502,"score_spread":0.2524234894777044,"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."}}