{"id":"W4402695337","doi":"10.61132/jupiter.v2i5.561","title":"Sistem Pendukung Keputusan Penentuan Kualitas Kayu untuk Kerajinan Mebel menggunakan Metode Electre Studi Kasus PT. Asia Mujur","year":2024,"lang":"en","type":"article","venue":"Jupiter Publikasi Ilmu Keteknikan Industri Teknik Elektro dan Informatika","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"ELECTRE; Computer science; Mathematics; Operations research; Multiple-criteria decision analysis","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":[0.0005209188,0.0003754119,0.0006146219,0.0006877987,0.0006204318,0.002198006,0.0003488283,0.0004515447,0.01208],"category_scores_gemma":[0.0006302696,0.0002317412,0.0002203514,0.0007315452,0.0002713054,0.00148266,0.000652017,0.0004700994,0.003233534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426011,"about_ca_system_score_gemma":0.0005360579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332243,"about_ca_topic_score_gemma":0.001429102,"domain_scores_codex":[0.9997533,0.00003811711,0.0000158227,0.00005383962,0.00009824865,0.00004074498],"domain_scores_gemma":[0.9997007,0.00009968044,0.00001951033,0.00002472705,0.0001387734,0.00001664503],"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":[0.001003478,0.0002580858,0.009561736,0.001041177,0.00009434044,0.001151581,0.001461028,0.01428927,0.1310574,0.01535499,0.009791441,0.8149356],"study_design_scores_gemma":[0.0001226748,0.001187912,0.04478986,0.000481712,0.0004727843,0.003703525,0.006694626,0.2570657,0.3147595,0.02096304,0.349554,0.0002047167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5909393,0.01761084,0.1874598,0.001477685,0.0009503319,0.0001859889,0.0009976717,0.002155013,0.1982235],"genre_scores_gemma":[0.8952781,0.004966117,0.03403792,0.0001088367,0.00009077865,0.00008284722,0.0008512459,0.0002295884,0.06435447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208,"threshold_uncertainty_score":0.04041159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182084206226796,"score_gpt":0.2357438227910908,"score_spread":0.2175354021684112,"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."}}