{"id":"W3135417175","doi":"10.51544/jurnalmi.v5i1.1190","title":"Penerapan Fuzzy Mamdani Dengan Particle Swarm Optimization (PSO) dan MAPE (Mean Absolute Percentage Error) Pada Penilaian Kinerja Pegawai","year":2020,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Mathematics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006829508,0.0007453428,0.0006494127,0.0001964021,0.00127931,0.001652703,0.002479169,0.0002602583,0.0001163808],"category_scores_gemma":[0.000199255,0.0007702218,0.0003354323,0.001299456,0.000208462,0.002832886,0.00109926,0.001431437,0.0008154644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015388,"about_ca_system_score_gemma":0.0004216321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002782699,"about_ca_topic_score_gemma":0.0001215064,"domain_scores_codex":[0.994904,0.0002345965,0.001391929,0.001062705,0.001086773,0.001319981],"domain_scores_gemma":[0.9962029,0.0001246465,0.0008017964,0.001318755,0.000274156,0.001277755],"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":[0.0008268834,0.002064139,0.0242877,0.00136253,0.001059843,0.0006032197,0.1154197,0.5546642,0.009431477,0.07966703,0.07263409,0.1379792],"study_design_scores_gemma":[0.001646113,0.0006991145,0.01285567,0.0001113465,0.0001639325,0.0001657547,0.001931051,0.7919677,0.001062557,0.00001877707,0.1882885,0.001089527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5040119,0.0008044768,0.3802198,0.05746969,0.003002995,0.002589428,0.0002302392,0.003128435,0.04854298],"genre_scores_gemma":[0.9655025,0.0002041831,0.02442351,0.005313443,0.0007956458,0.00005605362,0.0004305104,0.0001039926,0.00317014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4614906,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568928399654267,"score_gpt":0.2595295183230668,"score_spread":0.2338402343265241,"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."}}