{"id":"W6943971042","doi":"10.18131/ysbpk-ady37","title":"NO WAIT: new organised well-adapted immediate triage: a lean improvement project","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Emergency department; Multidisciplinary team; Multidisciplinary approach; Lean manufacturing; Patient care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01201221,0.0007373492,0.0003071565,0.001224535,0.001806935,0.00306744,0.001416563,0.0007032406,0.002199427],"category_scores_gemma":[0.01069952,0.0002988538,0.0006837917,0.0008239532,0.001450905,0.001935455,0.004539119,0.001537191,0.0004286187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629081,"about_ca_system_score_gemma":0.01934916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082391,"about_ca_topic_score_gemma":0.006161895,"domain_scores_codex":[0.9953548,0.002620829,0.0002396741,0.0003041849,0.0009418545,0.0005386766],"domain_scores_gemma":[0.9916082,0.001730831,0.0006470451,0.0005901327,0.002431348,0.002992446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002125214,0.01416191,0.03490298,0.001797958,0.0002148707,0.001833863,0.01972288,0.01761215,0.01259486,0.02318708,0.03096582,0.8408805],"study_design_scores_gemma":[0.003872348,0.0560294,0.113316,0.005240811,0.001224,0.003158225,0.139933,0.1435935,0.0490891,0.07534498,0.408589,0.0006095002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427249,0.0009167065,0.112468,0.01676379,0.0007520692,0.005246808,0.0006939284,0.001146105,0.01928772],"genre_scores_gemma":[0.5543627,0.001608247,0.4297869,0.001805898,0.0001149535,0.001865506,0.0009234266,0.0001320752,0.009400362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201221,"threshold_uncertainty_score":0.06352741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04320877446776297,"score_gpt":0.3287716729609731,"score_spread":0.2855628984932101,"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."}}