{"id":"W3093965359","doi":"10.12927/cjnl.2020.26321","title":"Using the Synergy Tool to Determine Regina Emergency Department Staffing Needs","year":2020,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health; University of Saskatchewan; Saskatchewan Disease Control Laboratory; University of Manitoba; University of Regina; University of British Columbia","funders":"","keywords":"Staffing; Emergency department; Nursing; Dependency (UML); Emergency nursing; Health care; Medical emergency; Medicine; Political science; Engineering","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":[0.01152508,0.0004408353,0.0004608099,0.005273514,0.001116476,0.0009935139,0.0007367574,0.0002839386,0.002578019],"category_scores_gemma":[0.02419811,0.0004379963,0.000526717,0.002233146,0.0003278339,0.0012407,0.002585709,0.0005376806,0.0005811047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748114,"about_ca_system_score_gemma":0.00604925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510269,"about_ca_topic_score_gemma":0.04418,"domain_scores_codex":[0.9946579,0.001998382,0.0008625068,0.0003084088,0.00158784,0.0005849391],"domain_scores_gemma":[0.9798345,0.007387176,0.004332535,0.0006589954,0.006403496,0.001383343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002718144,0.0003368129,0.878194,0.0002115669,0.000089084,0.0001991118,0.0131536,0.0009192739,0.0009822749,0.0002777589,0.002549609,0.1028151],"study_design_scores_gemma":[0.00006068886,0.001099911,0.9525689,0.0001497048,0.0000609154,0.0003301495,0.03193773,0.003515349,0.001985921,0.0003983165,0.007821917,0.00007058639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992819,0.00007405375,0.001770533,0.0001879192,0.00001194226,0.0004322956,0.000638869,0.00006468823,0.004000545],"genre_scores_gemma":[0.9731529,0.0001302837,0.02242202,0.00008407618,0.00001177944,0.001652951,0.001015091,0.00001988599,0.001510912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510269,"threshold_uncertainty_score":0.06095117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2584041910326108,"score_gpt":0.340764613409732,"score_spread":0.08236042237712121,"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."}}