{"id":"W2737511437","doi":"10.1017/cem.2017.360","title":"Crowding, Karenina, and Complexity: Patient Flow in Evolving Health Care Ecosystems","year":2017,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Crowding; Medicine; Action (physics); Content (measure theory); Psychology; Neuroscience","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":[0.003490116,0.0003222232,0.000681174,0.0007171226,0.007244285,0.005771993,0.001724703,0.01774168,0.006546729],"category_scores_gemma":[0.03267886,0.0003871254,0.0005583043,0.001086061,0.006423007,0.007937217,0.002548186,0.02175769,0.001049278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007435038,"about_ca_system_score_gemma":0.01123608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07493021,"about_ca_topic_score_gemma":0.1379929,"domain_scores_codex":[0.9976386,0.0009572019,0.0002197428,0.0002555772,0.0004536359,0.0004752826],"domain_scores_gemma":[0.9814058,0.01193715,0.001436559,0.0003343173,0.001786691,0.003099494],"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":[0.0001957676,0.0002111758,0.03699326,0.0002283965,0.00006142234,0.01065829,0.01992669,0.0004095305,0.0001811004,0.02913696,0.8466952,0.05530212],"study_design_scores_gemma":[0.0002576506,0.0001684528,0.03978627,0.002214501,0.0001293588,0.01346896,0.1353635,0.003318947,0.0003439558,0.1430065,0.6616037,0.0003382071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005344929,0.0007979763,0.00008000733,0.9895431,0.001874926,0.000004782058,0.0000170814,0.000006328048,0.002330858],"genre_scores_gemma":[0.2233123,0.005913432,0.000774427,0.7303428,0.03540626,0.00006623806,0.00004471586,0.00004040611,0.004099387],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07493021,"threshold_uncertainty_score":0.1489881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0990934128265023,"score_gpt":0.3471544590043703,"score_spread":0.248061046177868,"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."}}