{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007679278,0.0002833986,0.0003558985,0.0005949012,0.0002198841,0.0007099793,0.0003996872,0.0001949953,0.0002891344],"category_scores_gemma":[0.00003255563,0.0002350653,0.0001451207,0.0005839175,0.00004735879,0.000625528,0.0002421612,0.0004762814,0.0001300531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705361,"about_ca_system_score_gemma":0.00008043477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004517893,"about_ca_topic_score_gemma":0.00002371226,"domain_scores_codex":[0.9978262,0.00000466239,0.0007136782,0.0002895563,0.0006115122,0.0005543802],"domain_scores_gemma":[0.9991004,0.00002566877,0.0003844587,0.000291997,0.0001477626,0.00004972231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005161514,0.0006169772,0.003734795,0.0007560034,0.0003764657,0.0003957668,0.0001640886,0.3722683,0.0004458597,0.5334334,0.05588432,0.03140782],"study_design_scores_gemma":[0.01004439,0.00005777032,0.009719956,0.0006514383,0.000550508,0.00003492373,0.006764917,0.6716641,0.001500639,0.09731847,0.199869,0.001823925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408613,0.00009058309,0.01670411,0.003145371,0.001573806,0.001539773,0.00002507617,0.0001534855,0.1359065],"genre_scores_gemma":[0.9818395,0.0001447964,0.0008715288,0.01143079,0.001033077,0.00005956205,0.00007578393,0.00004419098,0.004500779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361149,"threshold_uncertainty_score":0.9585686,"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."}}