{"id":"W2418081412","doi":"10.1177/1541931215591124","title":"Human Factors Research and Design Trends for the Modern Exam and Hospital Room","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute for Occupational Safety and Health; National Center for Complementary and Alternative Medicine; Georgia Clinical and Translational Science Alliance; U.S. Department of Veterans Affairs","keywords":"Workflow; Health care; Work (physics); Knowledge management; Health information technology; Medicine; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.06017528,0.0008760234,0.0006114201,0.002835405,0.002079964,0.007435514,0.00181074,0.003086586,0.01125746],"category_scores_gemma":[0.05830462,0.000690814,0.001146025,0.003589386,0.005930052,0.006798845,0.001877579,0.004242186,0.001343495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005587042,"about_ca_system_score_gemma":0.00840212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005455447,"about_ca_topic_score_gemma":0.007923337,"domain_scores_codex":[0.9580706,0.0266878,0.002382755,0.003671971,0.008194029,0.000992681],"domain_scores_gemma":[0.8513877,0.1156096,0.004608836,0.005688738,0.01964204,0.003063135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005437112,0.001061271,0.05039079,0.005237319,0.0002180975,0.0003554677,0.03827868,0.002453148,0.008689471,0.1087234,0.02908712,0.7549616],"study_design_scores_gemma":[0.0002930373,0.00407652,0.1164278,0.006748708,0.0003838536,0.001691521,0.05395854,0.01078391,0.006989244,0.1186048,0.6796129,0.0004290249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1544203,0.1008047,0.3989084,0.2332843,0.005776921,0.001568072,0.0007809066,0.001142523,0.1033138],"genre_scores_gemma":[0.4944202,0.03762975,0.4195898,0.02446646,0.002271916,0.003241101,0.0005993731,0.00048992,0.0172914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06017528,"threshold_uncertainty_score":0.3182411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.185062371706485,"score_gpt":0.4142950169915187,"score_spread":0.2292326452850337,"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."}}