{"id":"W2941991849","doi":"10.1017/cem.2019.29","title":"Use of personal mobile devices to record patient data by Canadian emergency physicians and residents","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Provincial Health Services Authority; Vancouver General Hospital; BC Children's Hospital; Vancouver Coastal Health Research Institute; Vancouver Coastal Health; University of British Columbia","funders":"","keywords":"Medicine; Demographics; Emergency department; Mobile device; Medical record; Personally identifiable information; Medical emergency; Informed consent; Family medicine; Nursing; Alternative medicine; Computer security","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":[0.002757692,0.0002545587,0.0003217177,0.002075005,0.002660685,0.002030042,0.0009115166,0.0006199128,0.003964399],"category_scores_gemma":[0.03089202,0.0003223812,0.0003859464,0.002485281,0.0006236008,0.0008319712,0.001330326,0.0008490074,0.0005681106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0134963,"about_ca_system_score_gemma":0.03071662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9344475,"about_ca_topic_score_gemma":0.9581038,"domain_scores_codex":[0.9962264,0.0006944332,0.0003017454,0.0003764932,0.001827429,0.0005734602],"domain_scores_gemma":[0.9822454,0.005321344,0.002075,0.0004610675,0.007416123,0.002481096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003905425,0.0003374247,0.7472219,0.0005111625,0.0001213321,0.0006940472,0.04483753,0.0002847184,0.0009458879,0.0005801672,0.03089103,0.1731843],"study_design_scores_gemma":[0.0000460714,0.0002285465,0.8990046,0.0007255287,0.0001203328,0.0006093062,0.04345448,0.001501133,0.0008369464,0.0001961166,0.05311684,0.0001600083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594295,0.002269339,0.0005408153,0.004626617,0.0001269347,0.000367863,0.005354485,0.000175008,0.02710938],"genre_scores_gemma":[0.9844086,0.002637426,0.002834172,0.00142775,0.00004571694,0.000124962,0.001881084,0.00003555335,0.006604699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06555253,"threshold_uncertainty_score":0.1318771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556226804829705,"score_gpt":0.4395215310898015,"score_spread":0.283898850606831,"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."}}