{"id":"W2801031052","doi":"10.1017/cem.2018.85","title":"LO23: Reducing time to disposition for treat & release patients in the emergency department","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Documentation; Medicine; Emergency department; PDCA; Audit; Medical emergency; Quality management; Health care; Patient safety; Emergency medicine; Nursing; Operations management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001235526,0.0006406655,0.0008403515,0.0004740282,0.000806648,0.002147444,0.001376077,0.001060117,0.05016153],"category_scores_gemma":[0.008040349,0.0002551825,0.001612048,0.0003935377,0.0004108084,0.0009593748,0.001532894,0.002240249,0.005119397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706748,"about_ca_system_score_gemma":0.005941416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00993707,"about_ca_topic_score_gemma":0.01895574,"domain_scores_codex":[0.9991236,0.0002952002,0.00005289379,0.00008779575,0.0001577732,0.0002826852],"domain_scores_gemma":[0.9965191,0.0007381034,0.0005121862,0.0001061187,0.0002199828,0.001904494],"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":[0.103707,0.02385498,0.03635311,0.002724275,0.001917732,0.0004615211,0.0005832894,0.001400332,0.002148113,0.001122829,0.1598068,0.66592],"study_design_scores_gemma":[0.129341,0.1625507,0.5385851,0.004270197,0.005237151,0.001369667,0.005412507,0.005917177,0.005308033,0.002799594,0.138637,0.0005717835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991323,0.009738843,0.001275072,0.02220882,0.001935754,0.001669914,0.005645303,0.001805342,0.05658872],"genre_scores_gemma":[0.9561082,0.004594562,0.005507657,0.008732508,0.000974622,0.001325796,0.003007565,0.0001959674,0.01955317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05016153,"threshold_uncertainty_score":0.167807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04746025046056268,"score_gpt":0.3385937092920169,"score_spread":0.2911334588314542,"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."}}