{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005692939,0.001061826,0.009311573,0.002043402,0.0003616101,1.482992e-7,0.002467722,0.004418415,0.005257105],"category_scores_gemma":[0.01207489,0.0008819381,0.0005158969,0.003168302,0.0005743298,0.0001802429,0.0005688994,0.007694195,0.0002293167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007403558,"about_ca_system_score_gemma":0.005095892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002323887,"about_ca_topic_score_gemma":0.0005513238,"domain_scores_codex":[0.9787857,0.001653744,0.01536063,0.001410461,0.0007988216,0.001990668],"domain_scores_gemma":[0.9810265,0.0007486005,0.01498987,0.001794457,0.001164781,0.0002758191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001441829,0.0000480489,0.01031926,0.7081536,0.0001841733,0.00000842324,0.0004015492,2.413608e-9,0.000002839692,0.000262044,0.02558686,0.2550188],"study_design_scores_gemma":[0.0005289027,0.0005079904,0.000007269756,0.5810879,0.0006760894,0.00001108778,0.001107812,1.030952e-7,0.000002110426,0.0001960701,0.4155286,0.0003460779],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004431268,0.9724956,0.00003566666,0.0022155,0.005179176,0.01397815,0.000297208,0.0001544577,0.005599939],"genre_scores_gemma":[0.00009677668,0.9921862,0.00002436366,0.0001854233,0.0006351413,0.004809353,0.0005380918,0.0001876508,0.001336996],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3899418,"threshold_uncertainty_score":0.9993631,"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."}}