{"id":"W4387216787","doi":"10.59697/jik.v4i2.331","title":"SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN CALON TENAGA PENDIDIK DENGAN MENGGUNAKAN METODEMULTI-OBJECTIVE OPTIMAZTION ON THE BASIS OF RATIO ANALYSIS(MOORA) (StudiKasus: Yayasan Perguruan Swakarya)","year":2020,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877316,0.001479407,0.001333584,0.001232229,0.0004542263,0.002779097,0.0007719215,0.000802264,0.003583785],"category_scores_gemma":[0.002185304,0.0004588582,0.001410296,0.001074308,0.0005359575,0.001474653,0.0008500771,0.001028027,0.0008953472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676369,"about_ca_system_score_gemma":0.001213969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210371,"about_ca_topic_score_gemma":0.002246998,"domain_scores_codex":[0.9990012,0.0003107731,0.00006276954,0.000204013,0.0003445349,0.00007673205],"domain_scores_gemma":[0.9992765,0.0003581217,0.0001019425,0.00004775774,0.0001886256,0.00002717951],"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":[0.0007611627,0.0004021166,0.005993124,0.00185284,0.00054735,0.0002928347,0.000446698,0.3395792,0.08862891,0.0252827,0.002788879,0.5334242],"study_design_scores_gemma":[0.00007001645,0.0008929801,0.006385828,0.0001700878,0.0003520559,0.0003037419,0.0004500675,0.9138576,0.04984762,0.01376338,0.01379434,0.0001123132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08726043,0.003469931,0.8892072,0.0003849708,0.0001274578,0.0002698908,0.0002564676,0.0008272263,0.01819649],"genre_scores_gemma":[0.592963,0.003100979,0.3848789,0.0001719946,0.00007932624,0.0003949207,0.0004806209,0.0003889731,0.01754123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003583785,"threshold_uncertainty_score":0.011989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410420010325458,"score_gpt":0.2597768754082206,"score_spread":0.2156726753049661,"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."}}