{"id":"W2788195581","doi":"10.1051/proc/201965145","title":"Optimal inventory management and order book modeling","year":2019,"lang":"en","type":"article","venue":"ESAIM Proceedings and Surveys","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Agence Nationale de la Recherche","keywords":"Inventory management; Order (exchange); Computer science; Engineering; Business; Operations management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009889667,0.000815084,0.001136098,0.000563671,0.0004908321,0.002188383,0.002384515,0.002344256,0.004708218],"category_scores_gemma":[0.002428746,0.0005973823,0.0006261599,0.0006352079,0.001230687,0.001912309,0.0009896858,0.001223202,0.0005441679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724284,"about_ca_system_score_gemma":0.001874813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275026,"about_ca_topic_score_gemma":0.00700769,"domain_scores_codex":[0.9992902,0.0002174431,0.00003545939,0.0001358504,0.0001762393,0.0001447682],"domain_scores_gemma":[0.9992276,0.0003475933,0.0001560983,0.00006039814,0.0001086373,0.0000996595],"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":[0.00003045884,0.00003124467,0.0003986479,0.00001763295,0.000007923883,0.00005918881,0.00004202249,0.9439837,0.0004508549,0.05284255,0.0003175818,0.001818206],"study_design_scores_gemma":[0.00000853294,0.00001011869,0.00006954212,0.000002385271,0.000002711322,0.000007123197,0.000008771071,0.9921412,0.00008400965,0.007360893,0.0003005003,0.000004070277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.157681,0.0007568424,0.7998117,0.001378496,0.0001081122,0.0002096714,0.0009026862,0.0003477863,0.03880361],"genre_scores_gemma":[0.924868,0.0004724945,0.04922693,0.0001282936,0.00006004929,0.0002545419,0.0002770393,0.0000503949,0.02466209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01275026,"threshold_uncertainty_score":0.02535212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586847716003489,"score_gpt":0.2014711937073242,"score_spread":0.1856027165472893,"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."}}