{"id":"W2757599011","doi":"10.1111/acem.13325","title":"Point‐of‐care Cognitive Support Technology in Emergency Departments: A Scoping Review of Technology Acceptance by Clinicians","year":2017,"lang":"en","type":"review","venue":"Academic Emergency Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority; University of Ottawa; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Medical emergency; Point of care; Cognition; Point (geometry); Nursing; Psychiatry","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":[0.04423871,0.001536067,0.005671709,0.02469035,0.001543985,0.005757274,0.002896779,0.00352297,0.002590032],"category_scores_gemma":[0.1907486,0.001677984,0.006525614,0.02218744,0.002078813,0.005885782,0.003380769,0.002117046,0.0003846423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007070678,"about_ca_system_score_gemma":0.02387694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009085693,"about_ca_topic_score_gemma":0.01750557,"domain_scores_codex":[0.9570866,0.0161283,0.01783917,0.001669775,0.006595208,0.0006808723],"domain_scores_gemma":[0.7841115,0.1728034,0.02123958,0.002263428,0.01880551,0.0007765998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00014721,0.00004212029,0.001487292,0.8750147,0.00259206,0.0001359443,0.002006178,0.0001911339,0.0001774366,0.0007008871,0.001663365,0.1158416],"study_design_scores_gemma":[0.00003257699,0.0000874722,0.001983455,0.9803919,0.005411248,0.000164495,0.0008537438,0.00007604059,0.0001184784,0.0002362218,0.01062295,0.00002149105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001888825,0.9956089,0.0004046775,0.00065478,0.0001596599,0.0005250721,0.0001420863,0.000006164234,0.0006099011],"genre_scores_gemma":[0.01655818,0.9797162,0.001428752,0.0005655712,0.00008771596,0.001378614,0.0001589754,0.000007014289,0.00009899306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04423871,"threshold_uncertainty_score":0.2339595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.205032370060434,"score_gpt":0.6055209481381023,"score_spread":0.4004885780776684,"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."}}