{"id":"W1557685023","doi":"","title":"Emergency doctors, nurses prescribe cure for overcrowding","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overcrowding; Economic shortage; Medicine; Medical emergency; Emergency physician; Emergency treatment; Emergency department; Family medicine; Nursing; Political science; Government (linguistics); Law","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":[0.001639305,0.0003891284,0.0004879508,0.0006441679,0.006627308,0.002441924,0.0008221635,0.004089097,0.02099073],"category_scores_gemma":[0.0157991,0.0002671612,0.0004840421,0.000496509,0.002135018,0.001873071,0.001416838,0.005078345,0.006183515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004283992,"about_ca_system_score_gemma":0.0256437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2290754,"about_ca_topic_score_gemma":0.487494,"domain_scores_codex":[0.9983942,0.0002708177,0.00007587496,0.0001058832,0.0006480074,0.0005051375],"domain_scores_gemma":[0.9923857,0.0007660101,0.0005652618,0.0003150098,0.002444752,0.00352324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000271275,0.0001295641,0.007324245,0.0001056575,0.00001719026,0.0004442763,0.000849588,0.00007674337,0.0003971951,0.002481573,0.909435,0.07871165],"study_design_scores_gemma":[0.0000721832,0.0001071083,0.02720594,0.0005496945,0.00003300882,0.001029545,0.005365076,0.0001267551,0.000535827,0.003644082,0.9612738,0.00005685459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01046968,0.008932186,0.001993858,0.8847341,0.01194156,0.00008274909,0.0001784356,0.0006597717,0.08100766],"genre_scores_gemma":[0.2069068,0.02450312,0.009562377,0.4622205,0.009751494,0.0001635157,0.0003455984,0.0004939396,0.2860529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2290754,"threshold_uncertainty_score":0.455484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07457946731382555,"score_gpt":0.3433288142068264,"score_spread":0.2687493468930008,"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."}}