{"id":"W1136862827","doi":"10.71781/10462","title":"Simulation de centres de contacts","year":2009,"lang":"fr","type":"dissertation","venue":"Open MIND","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; Java; Set (abstract data type); Variance (accounting); Center (category theory); Estimator; Interface (matter); Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006963513,0.0003586687,0.0004401588,0.0002382802,0.0003775761,0.001220818,0.0006630069,0.0002921384,0.004798775],"category_scores_gemma":[0.0009956994,0.000413009,0.0001606708,0.0004466093,0.00003123216,0.00205092,0.0001075483,0.0002717125,0.002056995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403705,"about_ca_system_score_gemma":0.0001274644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106055,"about_ca_topic_score_gemma":0.003479985,"domain_scores_codex":[0.9982707,0.00007271908,0.0004340116,0.0004982049,0.0002086655,0.000515687],"domain_scores_gemma":[0.9983895,0.00026357,0.0006991167,0.0003171301,0.0002927792,0.00003787616],"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":[0.0005124139,0.0002540219,0.005427387,0.0001869484,0.0002212995,0.00009788732,0.0011935,0.6336994,0.001153136,0.002921272,0.0003163726,0.3540164],"study_design_scores_gemma":[0.001251575,0.00002890189,0.01154383,0.00144733,0.001912129,0.000001645816,0.003678218,0.5754206,0.002062225,0.01221009,0.3892917,0.001151783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8890259,0.0009556277,0.004921408,0.000717596,0.0005118227,0.0009369614,0.00001422636,0.00001766358,0.1028987],"genre_scores_gemma":[0.964827,0.00002381011,0.004047609,0.0004904527,0.000698632,0.000009663758,0.001265896,0.00004868036,0.02858823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3889753,"threshold_uncertainty_score":0.9998322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109473006362197,"score_gpt":0.3111776923647231,"score_spread":0.2900829623011012,"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."}}