{"id":"W4391938860","doi":"10.59697/jtik.v2i1.662","title":"SIMULASI ANTRIAN PELAYANAN BANK DENGAN MENGGUNAKAN METODE GAMMA","year":2018,"lang":"id","type":"article","venue":"JTIK (Jurnal Teknik Informatika Kaputama)","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155734,0.001040382,0.0008216806,0.0005721519,0.0007768376,0.002650035,0.00186747,0.001098228,0.02976308],"category_scores_gemma":[0.004574446,0.000569053,0.001041275,0.0006421498,0.0007480896,0.002709934,0.001635978,0.002443918,0.004034882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663396,"about_ca_system_score_gemma":0.002468394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959936,"about_ca_topic_score_gemma":0.01748496,"domain_scores_codex":[0.9991178,0.0002296265,0.00004403958,0.0001773396,0.0002396967,0.0001915811],"domain_scores_gemma":[0.9981698,0.0008390274,0.0000996735,0.0003643254,0.0003978277,0.000129311],"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":[0.001071675,0.0003784461,0.02557724,0.0003657999,0.0001653648,0.0008194147,0.000695104,0.7236578,0.01654031,0.1428391,0.02484588,0.06304388],"study_design_scores_gemma":[0.0001045716,0.0001363621,0.003109886,0.00005604798,0.00005968666,0.0002509339,0.0004182922,0.9301901,0.009647029,0.03534659,0.02063382,0.00004658636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4683198,0.001369656,0.3611763,0.00525844,0.0009905789,0.0004983172,0.009144398,0.005318532,0.147924],"genre_scores_gemma":[0.8208106,0.0008993736,0.0823308,0.0005845146,0.0001015575,0.0004658148,0.00434223,0.001116405,0.08934876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02976308,"threshold_uncertainty_score":0.09956741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428437463324001,"score_gpt":0.2394074559540131,"score_spread":0.2251230813207731,"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."}}