{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001731689,0.001333955,0.001298365,0.002825657,0.001296546,0.001969976,0.001645355,0.0005007601,0.002239587],"category_scores_gemma":[0.0004023476,0.001215792,0.0006971741,0.00722541,0.0003055198,0.004381322,0.001034857,0.001238724,0.002369016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109683,"about_ca_system_score_gemma":0.0001616903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195007,"about_ca_topic_score_gemma":0.0003886394,"domain_scores_codex":[0.9917338,0.000108642,0.0020223,0.001648421,0.002184653,0.002302114],"domain_scores_gemma":[0.9962072,0.0001801364,0.001233994,0.001115057,0.0009537302,0.0003098985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008472553,0.0009782441,0.3922923,0.001126861,0.001115323,0.001647793,0.0003641887,0.002638753,0.005344623,0.0218866,0.5248308,0.04692727],"study_design_scores_gemma":[0.004515639,0.0003165885,0.3017447,0.0008216432,0.001194801,0.00014838,0.001170999,0.0180837,0.003253279,0.005835449,0.6586179,0.004296919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034008,0.0006633186,0.0006828023,0.01106393,0.003367508,0.00222742,0.00008783197,0.004302082,0.07420428],"genre_scores_gemma":[0.9687943,0.0008198054,0.002237773,0.008772823,0.00811408,0.0002620286,0.0007749663,0.0004827587,0.009741506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337871,"threshold_uncertainty_score":0.9999412,"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."}}