{"id":"W2020809444","doi":"10.1177/154193121005402304","title":"A Heuristic Evaluation of Three Automated External Defibrillators","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Usability; Defibrillation; Medicine; Heuristic; Medical emergency; Redundancy (engineering); Computer science; Engineering; Human–computer interaction; Reliability engineering; Artificial intelligence; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00761351,0.001219496,0.0006517445,0.001358633,0.0006679192,0.001854052,0.0009885102,0.000781778,0.001676942],"category_scores_gemma":[0.05318153,0.0003364041,0.0007804537,0.0008928602,0.0006052687,0.000870518,0.0007412448,0.0004955695,0.0002248788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176559,"about_ca_system_score_gemma":0.001191167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147784,"about_ca_topic_score_gemma":0.003380329,"domain_scores_codex":[0.9903302,0.005940943,0.0009902701,0.00044084,0.001983619,0.0003141582],"domain_scores_gemma":[0.9209132,0.06515421,0.002931204,0.001519606,0.008850901,0.0006309743],"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":[0.01479422,0.008956617,0.05037791,0.01029684,0.0005778934,0.001559988,0.01806714,0.07420207,0.04915078,0.008503832,0.007110634,0.7564022],"study_design_scores_gemma":[0.006664913,0.08547556,0.1403391,0.003731036,0.002792902,0.002044695,0.03636977,0.560898,0.1015526,0.009294127,0.04974737,0.001090009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720951,0.000427774,0.02003436,0.0001497222,0.00004436497,0.0013488,0.0001796716,0.0001596234,0.005560651],"genre_scores_gemma":[0.8934233,0.0004013442,0.1030433,0.0001467288,0.00001717839,0.0009852039,0.0003895815,0.00003766346,0.0015557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00761351,"threshold_uncertainty_score":0.04026455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948088826940186,"score_gpt":0.2763697084176671,"score_spread":0.2568888201482653,"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."}}