{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03226116,0.0005288231,0.0005246606,0.002649734,0.006642516,0.0117,0.002448608,0.001758587,0.006284322],"category_scores_gemma":[0.08469095,0.0004519805,0.0006188249,0.002619525,0.006065408,0.005337281,0.01129485,0.005629809,0.002545848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01390565,"about_ca_system_score_gemma":0.1436191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.141145,"about_ca_topic_score_gemma":0.2124736,"domain_scores_codex":[0.961827,0.01691314,0.001812624,0.001392083,0.01411169,0.00394336],"domain_scores_gemma":[0.9090673,0.02371988,0.003994965,0.005332579,0.032722,0.0251633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006732006,0.0004240479,0.01744934,0.0008732946,0.00005205311,0.0005051947,0.02538918,0.0004955656,0.0005623246,0.03229742,0.3114219,0.6104623],"study_design_scores_gemma":[0.00007983856,0.0001799928,0.02343454,0.002972659,0.00004185034,0.0005350661,0.02501786,0.0008454054,0.0009867442,0.02359485,0.9221722,0.0001388771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03774968,0.01459802,0.0347896,0.6087721,0.006238663,0.0008365687,0.0003534608,0.001582241,0.2950797],"genre_scores_gemma":[0.6582862,0.04023301,0.145131,0.08723474,0.004074521,0.0009699216,0.001011593,0.0004690838,0.06258994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.141145,"threshold_uncertainty_score":0.280647,"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."}}