{"id":"W4317401399","doi":"10.18280/mmep.090633","title":"Implementation of Data Analytics for the Accuracy of Service Time Prediction Models","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; C4.5 algorithm; Tracing; Service (business); Decision tree; Data mining; Data collection; Analytics; Confusion matrix; Software; Service provider; Data processing; Database; Machine learning; Naive Bayes classifier; Statistics","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":[0.0006434747,0.00006298771,0.0001127908,0.00004400396,0.000104834,0.00002514883,0.000582648,0.00001317683,0.000003818528],"category_scores_gemma":[0.00002005132,0.00005144951,0.00001803143,0.000191692,0.000008691377,0.0002110807,0.0003604568,0.00008607483,4.311802e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007117692,"about_ca_system_score_gemma":0.00001916891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000483504,"about_ca_topic_score_gemma":3.773029e-7,"domain_scores_codex":[0.9993169,0.00001102469,0.0002571768,0.0001691213,0.0001475758,0.00009819037],"domain_scores_gemma":[0.9988693,0.0004461583,0.00009934914,0.0005207149,0.00004224989,0.00002222157],"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":[8.638999e-7,0.00001974283,0.000001499982,0.0001686123,0.00002059553,1.326682e-8,0.000763001,0.9529338,0.0001677098,0.04293981,0.000053153,0.002931143],"study_design_scores_gemma":[0.0001128772,0.0000341393,0.000003077382,0.00002004625,0.00003128484,0.000003204491,0.00006065621,0.9842566,0.00004041314,0.015029,0.0003625886,0.00004606671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002515789,0.00007385775,0.996432,0.000530344,0.00001648266,0.0002274466,0.0001308438,0.00005553051,0.00001768917],"genre_scores_gemma":[0.6586913,0.0000185886,0.3410054,0.00002054779,0.00001318751,0.00011972,0.00009658884,0.00001217972,0.0000223884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6561756,"threshold_uncertainty_score":0.209805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08055274505914424,"score_gpt":0.2916313404969623,"score_spread":0.211078595437818,"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."}}