{"id":"W2741500941","doi":"","title":"Modeling Daily Arrivals to a Telephone Call Center","year":2003,"lang":"fr","type":"article","venue":"Les Cahiers du GERAD","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Focus (optics); Center (category theory); Goodness of fit; Call management; Variance (accounting); Statistics; Mathematics; Telecommunications; Call control","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008872031,0.0005172462,0.0005823406,0.000483547,0.0006447472,0.0004301025,0.0004440153,0.0002961279,0.0009436859],"category_scores_gemma":[0.0009633601,0.0005746884,0.0003377379,0.001168856,0.0002010364,0.001281349,0.000134993,0.0005511817,0.001809878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995659,"about_ca_system_score_gemma":0.00003205564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000455403,"about_ca_topic_score_gemma":0.0001726388,"domain_scores_codex":[0.9971386,0.000128901,0.0006188172,0.0007713727,0.0003901994,0.000952101],"domain_scores_gemma":[0.9986375,0.00009542973,0.0002007942,0.0006550308,0.0003035797,0.0001076639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002560591,0.0005771013,0.00416563,0.00073849,0.0006937319,0.0003903204,0.002231506,0.3535461,0.001598084,0.5972362,0.0165835,0.02198331],"study_design_scores_gemma":[0.001656892,0.00002869406,0.00004920244,0.0004279203,0.000588679,0.00003195933,0.001475553,0.09845614,0.0002771319,0.08021737,0.8152956,0.001494863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.56659,0.00577984,0.3945316,0.01001103,0.002736801,0.0005796162,0.00002284949,0.0003201909,0.01942807],"genre_scores_gemma":[0.9421643,0.0001941353,0.01764322,0.01112507,0.001782145,0.00004011692,0.00003968986,0.0001583625,0.02685294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7987121,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035860234003744,"score_gpt":0.2144726329398225,"score_spread":0.2041140305997851,"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."}}