{"id":"W4386565469","doi":"10.1097/01.eem.0000554298.01771.5e","title":"After the Match","year":2019,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowding; Wonder; Battle; Revenue; Emergency department; Hospital bed; Medicine; Business; Nursing; Psychology; Finance; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001931099,0.00116451,0.0008030679,0.00127305,0.008451703,0.01564445,0.001977891,0.006478205,0.5699095],"category_scores_gemma":[0.012085,0.000439577,0.0008357546,0.001158559,0.002730147,0.01397972,0.01155716,0.007237141,0.3538449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374732,"about_ca_system_score_gemma":0.004503599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368276,"about_ca_topic_score_gemma":0.007671038,"domain_scores_codex":[0.9970027,0.0004823698,0.0001179374,0.0006014188,0.0009301699,0.0008655406],"domain_scores_gemma":[0.9956319,0.0004094861,0.0001628748,0.0004101585,0.001153606,0.0022319],"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":[0.00002270928,0.00002683312,0.000244622,0.00003940785,0.00000361887,0.0001544409,0.0003064914,0.00002705335,0.0000846888,0.01746069,0.9436015,0.03802789],"study_design_scores_gemma":[0.00000350553,0.000009250723,0.000143419,0.00004941802,0.000001408465,0.0001269526,0.0006030363,0.0000205543,0.00003723557,0.003679552,0.9953189,0.000006748889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002129094,0.003365044,0.004448408,0.1369775,0.06182998,0.0001808831,0.001303648,0.001462119,0.7883034],"genre_scores_gemma":[0.01123108,0.001723742,0.001447468,0.0516655,0.005533536,0.00009785308,0.0007153164,0.0009100309,0.9266754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5699095,"threshold_uncertainty_score":0.613472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948958831650891,"score_gpt":0.3104015248577453,"score_spread":0.2909119365412364,"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."}}