{"id":"W2804294049","doi":"","title":"The Danger Is in The Details: Human Factors Evaluation of Automatic External Defibrilators","year":2017,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; South Health Campus; University Health Network","funders":"","keywords":"Computer science; Computer security","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":[0.002729927,0.000367375,0.0002455654,0.0002577406,0.0002017555,0.0008689504,0.0002781063,0.0004911169,0.001654999],"category_scores_gemma":[0.00816647,0.00009131314,0.000245155,0.0002221591,0.0002859563,0.0003560212,0.0001954761,0.0003827987,0.0002491242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793193,"about_ca_system_score_gemma":0.0003179107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890698,"about_ca_topic_score_gemma":0.004309369,"domain_scores_codex":[0.9978958,0.001303962,0.0001157068,0.00008371704,0.0005390809,0.00006162708],"domain_scores_gemma":[0.9954483,0.003118796,0.0002005291,0.00012831,0.001001975,0.0001019972],"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":[0.007667906,0.001320458,0.07804954,0.0009143308,0.0004179579,0.0001975688,0.00119291,0.064852,0.09303934,0.002781339,0.01218874,0.7373778],"study_design_scores_gemma":[0.0005794865,0.02626463,0.3817379,0.000573959,0.0007623529,0.0009630768,0.005453362,0.4181174,0.1266382,0.007513068,0.0309198,0.0004768049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418023,0.003926081,0.04484142,0.002959863,0.0003304632,0.0001005523,0.0001798978,0.0001485004,0.005710917],"genre_scores_gemma":[0.9843741,0.0005747568,0.01278868,0.0003473396,0.0000886444,0.00002858447,0.00008173543,0.00002126654,0.00169486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002890698,"threshold_uncertainty_score":0.01443738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978142081670906,"score_gpt":0.290711016959907,"score_spread":0.250929596143198,"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."}}