{"id":"W4404578753","doi":"10.62951/repeater.v2i4.228","title":"Diagnosis Gangguan Permasalahan Layanan Telkom menggunakan Metode Dempster Shafer","year":2024,"lang":"en","type":"article","venue":"Repeater","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science","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":[0.0006703435,0.0009364706,0.000622877,0.002654395,0.0008598398,0.001661743,0.0005381572,0.001086855,0.01224893],"category_scores_gemma":[0.001865789,0.0003125848,0.0003569977,0.001215617,0.0006302903,0.00149889,0.0009448459,0.0008000695,0.004095578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011604,"about_ca_system_score_gemma":0.001822733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005048336,"about_ca_topic_score_gemma":0.003998492,"domain_scores_codex":[0.9992498,0.0001217497,0.00007786098,0.0001572154,0.0003120299,0.00008141183],"domain_scores_gemma":[0.9990633,0.0002537415,0.0001151212,0.00005795593,0.0004640365,0.00004583253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007516609,0.0002075086,0.02363968,0.001049414,0.00007357754,0.007415441,0.001357344,0.01414107,0.03358539,0.0131563,0.0356367,0.868986],"study_design_scores_gemma":[0.0002225791,0.000708531,0.05597816,0.001281542,0.0003657041,0.03828297,0.01111251,0.3306314,0.155082,0.04479392,0.3611533,0.000387369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3727224,0.03360508,0.4228196,0.01015045,0.002282547,0.0007577801,0.002537164,0.006722943,0.148402],"genre_scores_gemma":[0.8732104,0.01100713,0.06833559,0.0005113765,0.0001913065,0.0001273192,0.001749662,0.0001819107,0.04468514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01224893,"threshold_uncertainty_score":0.04097676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030515939845533,"score_gpt":0.2282912123491158,"score_spread":0.2179860529506605,"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."}}