{"id":"W3112338990","doi":"10.29173/cjen37","title":"Advancing Emergency Nurses’ Leadership and Practice through Informatics","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Triage; Emergency nursing; Informatics; Health informatics; Health care; Nursing; Emergency department; Data collection; Nursing research; Medicine; Information technology; Medical emergency; Resource (disambiguation); Knowledge management; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001585475,0.0002255283,0.0004652695,0.0001857713,0.000965728,0.00001081454,0.0002820993,0.0002209282,0.001276628],"category_scores_gemma":[0.00468199,0.0002246326,0.0001017273,0.0005885526,0.00005665556,0.001247923,0.000009638637,0.001512741,0.00008389304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254052,"about_ca_system_score_gemma":0.00510425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936474,"about_ca_topic_score_gemma":0.008123615,"domain_scores_codex":[0.9952365,0.0007828905,0.002159319,0.0001536822,0.000324926,0.001342682],"domain_scores_gemma":[0.9954747,0.0003050291,0.001467895,0.0001858453,0.0007072756,0.001859255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001678625,0.00003668067,0.03038012,0.002033378,0.0001454474,0.00009223591,0.4415221,0.00009972052,0.0002872154,0.00398161,0.4952616,0.02599204],"study_design_scores_gemma":[0.0008256071,0.0006333039,0.001620941,0.001882694,0.0001618998,0.0002196921,0.2972347,0.0005215978,0.00001379959,0.001251765,0.6952085,0.0004254366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.258079,0.08371607,0.0310472,0.3461294,0.07932701,0.003360276,0.0000600431,0.0001529101,0.198128],"genre_scores_gemma":[0.9771776,0.002926127,0.007434506,0.007066172,0.004376789,0.00001332281,0.000006042905,0.0001152602,0.0008841542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7190986,"threshold_uncertainty_score":0.9996364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832504483500575,"score_gpt":0.4660485003202203,"score_spread":0.2827980519701628,"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."}}