{"id":"W4387456124","doi":"10.11594/untad.jan.2023.v6.i1.20183","title":"ANALISIS EFISIENSI BIAYA PRODUKSI MIE PADA UD MIE UJANG KABUPATEN JEMBER","year":2023,"lang":"en","type":"article","venue":"Jurnal Akun Nabelo Jurnal Akuntansi Netral Akuntabel Objektif","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Production (economics); Quarter (Canadian coin); Production cost; Agricultural science; Product (mathematics); Operations management; Business; Mathematics; Engineering; Environmental science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370529,0.000446698,0.000422669,0.003501598,0.0005263017,0.002204936,0.0004113572,0.0002496435,0.004107787],"category_scores_gemma":[0.003746177,0.0002131847,0.0003411895,0.003793039,0.0003299658,0.0009293531,0.0005299672,0.0003571589,0.000584155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221212,"about_ca_system_score_gemma":0.000731066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008392341,"about_ca_topic_score_gemma":0.0191284,"domain_scores_codex":[0.9988844,0.0001941939,0.00009208789,0.0001468312,0.0005753671,0.0001071699],"domain_scores_gemma":[0.9971156,0.001238032,0.0005887385,0.0001506997,0.0008203147,0.00008662824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008316613,0.0005612512,0.7022603,0.001617538,0.0003822664,0.001068368,0.006896872,0.002554943,0.01276544,0.003886901,0.001334555,0.26584],"study_design_scores_gemma":[0.000002733199,0.0002563928,0.9784256,0.0001627394,0.0001089174,0.0002044323,0.005713561,0.0008600755,0.003634094,0.0002986259,0.01030943,0.00002339102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887732,0.001419973,0.0008824426,0.00006537572,0.00001075187,0.00005426799,0.0004953566,0.00001272618,0.008285952],"genre_scores_gemma":[0.9876307,0.001269185,0.002902872,0.00001664166,0.000007037067,0.00005376012,0.0007758749,0.00001429305,0.007329724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008392341,"threshold_uncertainty_score":0.01668698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179405413105175,"score_gpt":0.237046767582105,"score_spread":0.2152527134510533,"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."}}