{"id":"W2151940070","doi":"10.5555/2429759.2429860","title":"Evaluating healthcare systems with insufficient capacity to meet demand","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bottleneck; Flexibility (engineering); Queue; Health care; Computer science; Discrete event simulation; Queueing theory; Identification (biology); Operations research; Work (physics); Healthcare system; Risk analysis (engineering); Industrial engineering; Operations management; Simulation; Engineering; Statistics; Mathematics; Economics; Business; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001488214,0.0001665436,0.0002419825,0.000130357,0.0008223358,0.00004874363,0.0001100594,0.0001504752,0.0001689341],"category_scores_gemma":[0.0003673496,0.0001331767,0.00002217552,0.0002964967,0.00002255267,0.0003156315,0.00005031785,0.0002581018,0.000155699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479005,"about_ca_system_score_gemma":0.0003215708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004379288,"about_ca_topic_score_gemma":0.0004009946,"domain_scores_codex":[0.997319,0.00087516,0.0006025041,0.0002814307,0.0003775023,0.0005443581],"domain_scores_gemma":[0.9974936,0.000342334,0.000197459,0.0003307974,0.001259758,0.0003760181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008129643,0.00007095102,0.1179418,0.000226081,0.00001426367,3.060406e-7,0.02866902,0.8349084,0.000101062,0.0170685,0.0001325183,0.0007857191],"study_design_scores_gemma":[0.0005750117,0.0003041102,0.02150352,0.0007076007,0.00001566435,0.000001492789,0.003035804,0.9718666,0.00001553351,0.0000289418,0.001697205,0.0002485249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.625135,0.00004341422,0.3697011,0.001706064,0.0007205251,0.001255817,0.00001954127,0.00009399242,0.001324495],"genre_scores_gemma":[0.9882151,0.00000152688,0.009649119,0.001227585,0.0003508029,0.0001984534,0.00002560658,0.00002348638,0.0003082856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630801,"threshold_uncertainty_score":0.6324825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3535050176934534,"score_gpt":0.5097009216398387,"score_spread":0.1561959039463853,"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."}}