{"id":"W2062964054","doi":"10.1016/j.jom.2004.08.009","title":"Inventory evaluation and product slate management in large‐scale continuous process industries","year":2005,"lang":"en","type":"article","venue":"Journal of Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Production (economics); Product (mathematics); Production schedule; Scheduling (production processes); Operations research; Continuous production; Computer science; Scale (ratio); Schedule; Carrying cost; Sizing; Business; Operations management; Economics; Total cost; Mathematics; Microeconomics; Environmental science","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":[0.002316136,0.0002403695,0.0002995007,0.00114824,0.0002130292,0.0004520062,0.0003221708,0.00004660247,0.0003534915],"category_scores_gemma":[0.00004474746,0.0002217893,0.00006592459,0.0007424634,0.00005380823,0.002283283,0.0002389055,0.0002240612,0.00005980335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923263,"about_ca_system_score_gemma":0.00002693874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001603262,"about_ca_topic_score_gemma":0.0001994687,"domain_scores_codex":[0.9976566,0.0000467235,0.0008401531,0.0003274358,0.0007825884,0.0003464997],"domain_scores_gemma":[0.9989804,0.000007057403,0.0003265036,0.0002700516,0.0003852046,0.00003076496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004846844,0.00474169,0.08840461,0.002380583,0.001571841,0.0003563302,0.004864866,0.139031,0.00009766414,0.1063105,0.09709081,0.5546655],"study_design_scores_gemma":[0.01086045,0.0001224409,0.05850416,0.0006867561,0.001158872,0.00002680246,0.02472696,0.1256745,0.0001305406,0.003222218,0.7738237,0.00106254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101476,0.001019712,0.0007462938,0.00768711,0.0008526907,0.002482466,0.000001892993,0.00005841106,0.07700382],"genre_scores_gemma":[0.9935585,0.0002129589,0.001104959,0.001615953,0.0008994787,0.0001309053,0.00001851587,0.00002893814,0.002429738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676733,"threshold_uncertainty_score":0.9044305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407576896913706,"score_gpt":0.2756950500963286,"score_spread":0.2516192811271916,"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."}}