{"id":"W4387987274","doi":"10.2139/ssrn.4582188","title":"Deep Neural Newsvendor","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Newsvendor model; Artificial neural network; Computer science; Artificial intelligence; Business; Supply chain","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":[0.000754153,0.0005618366,0.0008080766,0.0006511146,0.0003601809,0.001852032,0.0007709266,0.001583833,0.007287584],"category_scores_gemma":[0.003957187,0.0004476281,0.0003831466,0.0006476069,0.0005217196,0.002150953,0.0007094624,0.001550124,0.001670704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005262395,"about_ca_system_score_gemma":0.0004912119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658263,"about_ca_topic_score_gemma":0.001788518,"domain_scores_codex":[0.9997863,0.00005021596,0.00001535894,0.00006645134,0.00004912574,0.00003249913],"domain_scores_gemma":[0.9990069,0.000496306,0.00008686435,0.0001531734,0.0001979368,0.00005884103],"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":[0.0004638418,0.0001595415,0.002477956,0.000159777,0.0001774296,0.0003815048,0.0000901001,0.5700814,0.003813394,0.1546128,0.02079697,0.2467853],"study_design_scores_gemma":[0.000008317087,0.00001386379,0.0001094574,0.000007434947,0.00001275855,0.00002963831,0.000005484393,0.9768644,0.0005744565,0.02088134,0.001486814,0.000006083954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1326138,0.006559557,0.8100043,0.004266517,0.001623041,0.00005448331,0.0009621648,0.00271178,0.04120429],"genre_scores_gemma":[0.9044049,0.001974275,0.05554387,0.0003939026,0.0006707013,0.00004367851,0.0009356894,0.0001514703,0.03588141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007287584,"threshold_uncertainty_score":0.02437943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0827041286684934,"score_gpt":0.3990903082204118,"score_spread":0.3163861795519184,"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."}}