{"id":"W4387216882","doi":"10.59697/jik.v4i1.344","title":"PENERAPAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) DALAM SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KADAR MINYAK MENTAH","year":2020,"lang":"en","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Crude oil; Palm oil; Quality (philosophy); Raw material; Mathematics; Cooking oil; Grading (engineering); Agricultural science; Agricultural engineering; Food science; Environmental science; Engineering; Petroleum engineering; Chemistry; Biodiesel","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006461435,0.0004131365,0.0005690833,0.0007898875,0.0004978104,0.0008655544,0.0006790792,0.0001145652,0.001252362],"category_scores_gemma":[0.0001720823,0.0003194825,0.0004114064,0.002427024,0.00008769946,0.003165728,0.0003215359,0.0002727121,0.00005609383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008623808,"about_ca_system_score_gemma":0.00003576353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327159,"about_ca_topic_score_gemma":0.00005664462,"domain_scores_codex":[0.9973332,0.00006341458,0.001095401,0.0003392595,0.0008058956,0.0003628791],"domain_scores_gemma":[0.9977196,0.00009378764,0.001276892,0.0004235267,0.0004330469,0.00005311971],"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":[0.0004340854,0.0004995315,0.01136259,0.0006705018,0.002803855,0.00001076076,0.00406587,0.8674185,0.0004335358,0.08385394,0.02141585,0.007031036],"study_design_scores_gemma":[0.0008831272,0.00007658375,0.002294486,0.00005750102,0.0009765689,6.595163e-7,0.003433538,0.9762928,0.003307786,0.00004035412,0.01216989,0.0004667344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04249457,0.0001167808,0.6538371,0.01257337,0.0005548411,0.003552073,0.0000523231,0.001025637,0.2857933],"genre_scores_gemma":[0.9835581,0.00007750948,0.009578663,0.00519929,0.0003555594,0.00008248151,0.0003758761,0.00004950996,0.0007230193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9410635,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312797533860601,"score_gpt":0.2329623191900126,"score_spread":0.2016825658039526,"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."}}