{"id":"W7115710856","doi":"10.5267/j.dsl.2025.9.004","title":"Inventory optimization under machine downtime: A production model with alternative unit replenishment","year":2025,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtime; Supply chain; Profit (economics); Production (economics); Economic shortage; Bottleneck; Context (archaeology); Economic production quantity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028369,0.0001851196,0.0001449521,0.001084783,0.0004624926,0.0005240943,0.0005757356,0.00002465238,0.0001214474],"category_scores_gemma":[0.0001329759,0.000146236,0.00004383717,0.002150285,0.0003274397,0.002112873,0.0003232038,0.0001151452,0.00005410565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678201,"about_ca_system_score_gemma":0.00004734469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001277656,"about_ca_topic_score_gemma":0.0000292594,"domain_scores_codex":[0.9978119,0.00001084285,0.0002823062,0.0006750755,0.0009064348,0.0003135155],"domain_scores_gemma":[0.9990575,0.00001881288,0.0001795753,0.0005042888,0.0002192187,0.00002062441],"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":[0.00007559175,0.00006451977,0.001838969,0.00001813428,0.00001447274,0.000003742798,0.00004179433,0.9644935,0.0006496618,0.008874044,0.02108718,0.002838443],"study_design_scores_gemma":[0.0005574814,0.000009287033,0.0009165155,0.0001127132,0.00003250834,8.480711e-7,0.0001936331,0.9842095,0.0002647205,0.002557257,0.01093385,0.0002116756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1903266,0.00002427505,0.7743064,0.02336513,0.001208086,0.0006723816,0.000001504388,0.0001595254,0.009936086],"genre_scores_gemma":[0.9348329,0.00001289666,0.0157957,0.04727404,0.0002913195,0.00007843207,0.00003507243,0.00002463319,0.001654952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7585107,"threshold_uncertainty_score":0.5963329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262361363519325,"score_gpt":0.2648652438724644,"score_spread":0.2386291075205318,"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."}}