{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124869,0.0002201901,0.0002818184,0.00007941504,0.0002824653,0.00001583669,0.0001460702,0.00006412024,0.0001084295],"category_scores_gemma":[0.0002738818,0.0001644918,0.000142805,0.0006469422,0.00008156518,0.00007577774,0.00003079263,0.0002225979,0.00002772383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188874,"about_ca_system_score_gemma":0.00005310899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007497465,"about_ca_topic_score_gemma":0.000004080886,"domain_scores_codex":[0.9986031,0.00005351022,0.0002568754,0.0002825853,0.0003131653,0.00049075],"domain_scores_gemma":[0.9993365,0.0000347027,0.00006598586,0.0002747321,0.0001012874,0.0001867469],"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":[0.001526728,0.0005485638,0.01224045,0.001144481,0.000949145,0.0003686174,0.1365198,0.001135853,0.1187504,0.003519644,0.5308538,0.1924425],"study_design_scores_gemma":[0.005528288,0.005844716,0.01724651,0.006640666,0.00425562,0.0005297461,0.3118155,0.01273315,0.06191492,0.0006011278,0.5689913,0.003898485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208412,0.005875278,0.005158898,0.2597027,0.001727559,0.000775325,0.000008818296,0.0002523671,0.005657868],"genre_scores_gemma":[0.9911258,0.00007977152,0.001304748,0.005772384,0.001079915,0.00001651258,0.000008184617,0.00004105283,0.0005716892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2702846,"threshold_uncertainty_score":0.6707779,"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."}}