{"id":"W3174371370","doi":"10.1287/inte.2021.1073","title":"Seasonal Inventory Management Model for Raw Materials in Steel Industry","year":2021,"lang":"en","type":"article","venue":"INFORMS Journal on Applied Analytics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Yard; Economic shortage; Business; Operations management; Environmental science; Supply chain; Operations research; Port (circuit theory); Inventory theory; Inventory control; Waste management; Engineering","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":[0.001192623,0.001219337,0.001365427,0.0008085045,0.0008049629,0.001803714,0.003046601,0.001917133,0.005403086],"category_scores_gemma":[0.001586069,0.0009143344,0.00169451,0.001214063,0.0008382309,0.0016111,0.001042143,0.001354048,0.0006437657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243462,"about_ca_system_score_gemma":0.002191789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03408764,"about_ca_topic_score_gemma":0.01858274,"domain_scores_codex":[0.9991801,0.0001780371,0.00005395273,0.0002127465,0.0001620948,0.000212958],"domain_scores_gemma":[0.9992591,0.0002695172,0.0001661221,0.00003214017,0.0001833987,0.00008968137],"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":[0.0000290419,0.00002282703,0.0005770086,0.00003205262,0.00001718021,0.0001380181,0.00004238846,0.9883211,0.0005085429,0.008003651,0.0004411155,0.001867087],"study_design_scores_gemma":[0.000006554398,0.00001310768,0.0001111891,0.000002459395,0.000007102197,0.00001072831,0.000009929036,0.9982116,0.00004750567,0.001335121,0.0002401954,0.000004555761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641104,0.001020463,0.8068737,0.001537538,0.0002210856,0.0002655325,0.002084104,0.0005955561,0.02329176],"genre_scores_gemma":[0.9451013,0.0007407303,0.03182022,0.0001681606,0.00008611597,0.0003148177,0.0009040128,0.00007753989,0.02078726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03408764,"threshold_uncertainty_score":0.06777841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789558829875992,"score_gpt":0.2582201354321988,"score_spread":0.2303245471334389,"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."}}