{"id":"W2090300426","doi":"10.1155/2012/636045","title":"A Method for Reviewing the Accuracy and Reliability of a Five-Level Triage Process (Canadian Triage and Acuity Scale) in a Community Emergency Department Setting: Building the Crowding Measurement Infrastructure","year":2012,"lang":"en","type":"article","venue":"Emergency Medicine International","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; Dalhousie University","funders":"Dalhousie University","keywords":"Triage; Medicine; Crowding; Emergency department; Workload; Reliability (semiconductor); Scale (ratio); Medical emergency; Data collection; Emergency medicine; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008698395,0.0002626357,0.000499505,0.0001627211,0.0004681325,0.000004478,0.0003165037,0.00007811502,0.0003470664],"category_scores_gemma":[0.01330942,0.0001477516,0.0001276448,0.0003483658,0.0001515756,0.0002259647,0.000140349,0.0005288547,2.239985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972081,"about_ca_system_score_gemma":0.0001262058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004945162,"about_ca_topic_score_gemma":0.004387154,"domain_scores_codex":[0.99719,0.0004795732,0.001074441,0.0002654966,0.0006079877,0.0003825093],"domain_scores_gemma":[0.9977101,0.0006359921,0.0003793268,0.0003499248,0.0007438184,0.0001808256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006258399,0.000340819,0.8646276,0.002648896,0.0007559059,0.000001841828,0.06138662,0.00003896518,0.006817775,0.0009082955,0.03552339,0.02632404],"study_design_scores_gemma":[0.002657242,0.0002848704,0.9510589,0.001792565,0.0006609767,0.00003507762,0.01101761,0.001175286,0.0008792397,0.00286688,0.02727473,0.0002966508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954811,0.01443836,0.003475061,0.0216355,0.001974305,0.002410501,0.0001068571,0.00001888666,0.001129508],"genre_scores_gemma":[0.9913159,0.005667614,0.001801205,0.0002454908,0.0005994091,0.0002669724,0.00002457567,0.00001785806,0.000060995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08643126,"threshold_uncertainty_score":0.9950019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07986913093265527,"score_gpt":0.4064934971112657,"score_spread":0.3266243661786105,"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."}}