{"id":"W2123029116","doi":"10.1017/s0269964800142068","title":"SUPPLEMENTARY VARIABLE TECHNIQUE IN STOCHASTIC MODELS","year":2000,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Variable (mathematics); Queueing theory; Class (philosophy); Computer science; Metric (unit); Applied mathematics; Random variable; Mathematics; Statistics; Artificial intelligence; Mathematical analysis; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004828702,0.001346517,0.001306845,0.00151414,0.000924043,0.002153008,0.002364089,0.002612483,0.007112345],"category_scores_gemma":[0.01275289,0.0006917524,0.00200324,0.001729261,0.003377338,0.006917537,0.003078002,0.005548391,0.0016306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448784,"about_ca_system_score_gemma":0.001871407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148704,"about_ca_topic_score_gemma":0.0009087845,"domain_scores_codex":[0.9974322,0.001384522,0.0001057467,0.0002919462,0.0006172208,0.0001684047],"domain_scores_gemma":[0.9942124,0.003758656,0.0004256311,0.0009303733,0.0004759828,0.0001969744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007733167,0.000007408882,0.00006280426,0.0000233513,0.000009028168,0.00004177191,0.00003738312,0.006505814,0.0002498778,0.989705,0.0006343329,0.002715395],"study_design_scores_gemma":[0.00001466211,0.000030918,0.00005914525,0.00003237476,0.00001171931,0.00007119435,0.00001212632,0.1729802,0.0003309072,0.82031,0.006126743,0.00002007644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003932186,0.000597415,0.9872379,0.0008003828,0.0002581507,0.00002270605,0.00009298798,0.0001615671,0.006896718],"genre_scores_gemma":[0.5370015,0.003669684,0.4300331,0.001363507,0.00200712,0.000567677,0.0005173002,0.0005258538,0.02431429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007112345,"threshold_uncertainty_score":0.02553695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202290924920097,"score_gpt":0.2084359016271823,"score_spread":0.1964129923779813,"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."}}