{"id":"W1608478497","doi":"10.1080/21693277.2014.913125","title":"A joint economic lot size model with price and environmentally sensitive demand","year":2014,"lang":"en","type":"article","venue":"Production & Manufacturing Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vendor; Profit (economics); Supply chain; Production (economics); Product (mathematics); Quality (philosophy); Economics; Supply and demand; Microeconomics; Investment (military); Industrial organization; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00183042,0.0001857562,0.0001721739,0.0002924804,0.0004278859,0.0003334409,0.0001331542,0.00004493287,0.0001553439],"category_scores_gemma":[0.0001064522,0.0001611243,0.00003019857,0.00007987888,0.0002056058,0.0008295481,0.0003672793,0.0002848365,0.0003071559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588445,"about_ca_system_score_gemma":0.00001424951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829341,"about_ca_topic_score_gemma":0.00004130798,"domain_scores_codex":[0.9982247,0.00004720289,0.000192782,0.0006708576,0.0004185709,0.0004459079],"domain_scores_gemma":[0.9994155,0.00005484703,0.00009192577,0.0003586371,0.00004604582,0.0000330474],"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":[0.003764311,0.002040834,0.0214991,0.007442122,0.001321575,0.0001254796,0.005498982,0.5802212,0.05732032,0.06133586,0.09896432,0.1604659],"study_design_scores_gemma":[0.004729861,0.0003892327,0.1619573,0.0004470668,0.0002016255,0.00007097605,0.004815759,0.3307402,0.175395,0.02833893,0.2904192,0.00249484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787462,0.00001944002,0.001025189,0.003925061,0.0001609193,0.0006509066,6.984944e-7,0.00009635132,0.01537525],"genre_scores_gemma":[0.994209,0.00003504572,0.0004218445,0.0003240868,0.001031842,0.00005508393,0.000006431766,0.00003757606,0.003879092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249481,"threshold_uncertainty_score":0.6570457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704798795539718,"score_gpt":0.2435082922564643,"score_spread":0.2064603043010671,"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."}}