{"id":"W4408959698","doi":"10.5206/mase/21838","title":"ANFIS computing for $MAP/PH/1$ queueing system with server deterioration and recovery under vacation and backup server","year":2025,"lang":"en","type":"article","venue":"Mathematics in Applied Sciences and Engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backup; Computer science; Adaptive neuro fuzzy inference system; Construct (python library); Service (business); Sensitivity (control systems); Queueing theory; Backup software; Real-time computing; Fuzzy logic; Operating system; Computer network; Fuzzy control system; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006792794,0.0001114478,0.0001653624,0.0002088567,0.0001841893,0.0002954963,0.00006440431,0.00003345547,7.590535e-7],"category_scores_gemma":[0.00002162232,0.00009567976,0.00001077008,0.0003676875,0.00004045705,0.0003620812,0.00007495358,0.00004822935,4.425233e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002636624,"about_ca_system_score_gemma":0.000005398756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001574784,"about_ca_topic_score_gemma":0.00004451304,"domain_scores_codex":[0.9993746,0.000002310921,0.000185932,0.0002135217,0.00008130635,0.0001422886],"domain_scores_gemma":[0.9996856,0.0001204329,0.00008784568,0.00007644809,0.00002238061,0.000007314856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001400952,0.00001310201,0.001737612,0.003627935,0.00002521321,5.366414e-7,0.0002541983,0.1962261,0.002071366,0.7939294,0.000003570937,0.002096911],"study_design_scores_gemma":[0.0002540734,0.000006141192,0.001197962,0.0005172628,0.00003571288,0.00000126342,0.001675234,0.9805527,0.00006525742,0.01550773,0.00003552451,0.0001511747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7096784,0.00006022947,0.2895355,0.00005998636,0.00003786111,0.0001788666,2.158502e-7,0.00004631134,0.000402624],"genre_scores_gemma":[0.9711984,0.000003436593,0.02866215,0.00005696768,0.00003873359,0.00001580825,0.000001544765,0.000008793556,0.00001421093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7843266,"threshold_uncertainty_score":0.3901708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074497483051755,"score_gpt":0.2137929372317404,"score_spread":0.2030479624012229,"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."}}