{"id":"W2051141388","doi":"10.1016/j.jemermed.2012.02.017","title":"A Systematic Review of Patient Tracking Systems for Use in the Pediatric Emergency Department","year":2012,"lang":"en","type":"review","venue":"Journal of Emergency Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Emergency department; Barcode; Overcrowding; Patient safety; Medical emergency; Tracking (education); Medical diagnosis; Identification (biology); Tracking system; Health care; Nursing; Computer science; Pathology; Artificial intelligence","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":[0.01045386,0.001426315,0.00647479,0.01000837,0.0008494026,0.00261392,0.002094296,0.001590345,0.003224203],"category_scores_gemma":[0.05234769,0.001100231,0.007725124,0.01166848,0.0009862479,0.002934146,0.001608273,0.001687665,0.0002278586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807186,"about_ca_system_score_gemma":0.01571388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144728,"about_ca_topic_score_gemma":0.04595653,"domain_scores_codex":[0.9891562,0.003262294,0.004705089,0.0007835678,0.001857586,0.0002352078],"domain_scores_gemma":[0.9623328,0.02485316,0.008325976,0.0005781834,0.003492838,0.0004169774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002893412,0.00003559034,0.001890429,0.9146264,0.01478175,0.0001246817,0.000298375,0.0001347323,0.0001546185,0.0001593625,0.001605263,0.06589933],"study_design_scores_gemma":[0.0004808271,0.0004439126,0.0102656,0.8411169,0.1263549,0.0005010322,0.0005452519,0.0001280348,0.0003313551,0.0002201593,0.0195413,0.00007066396],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002812255,0.9950867,0.0002612554,0.0002468415,0.0001414273,0.0004512259,0.0006889608,0.00001072817,0.0003006168],"genre_scores_gemma":[0.02144481,0.9757824,0.001423725,0.000527682,0.00005713746,0.0003564545,0.000301611,0.000006243169,0.0001000002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0144728,"threshold_uncertainty_score":0.05528599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2914790149388574,"score_gpt":0.523910852892153,"score_spread":0.2324318379532956,"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."}}