{"id":"W7160647405","doi":"10.1109/icbiti65527.2025.11500782","title":"Demand Forecasting in Supply Chains Using AI","year":2025,"lang":"","type":"article","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Supply chain; Demand forecasting; Key (lock); Supply and demand; Production (economics); Baseline (sea); Demand patterns; Supply chain 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003302077,0.0003027599,0.0004958552,0.001051899,0.000535932,0.0005992145,0.001087157,0.0002513219,0.0008551912],"category_scores_gemma":[0.00154327,0.000263088,0.0001829789,0.004425325,0.0002522427,0.0003800853,0.0006750572,0.0004434028,0.00005012965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856148,"about_ca_system_score_gemma":0.0004398303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008304353,"about_ca_topic_score_gemma":0.0007226376,"domain_scores_codex":[0.9961388,0.0001481847,0.001493319,0.0009418039,0.0005959066,0.0006820489],"domain_scores_gemma":[0.9972943,0.001098439,0.0002653525,0.0008880884,0.0003288057,0.0001250348],"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":[0.00007495239,0.0005886316,0.1626812,0.00009468987,0.00004265525,0.00004042764,0.001147342,0.00904159,0.001846796,0.3957321,0.03728174,0.3914278],"study_design_scores_gemma":[0.0003403575,0.0000404305,0.002444352,0.0004596736,0.00002011876,0.00001479557,0.0005023418,0.8988114,0.001850552,0.08290885,0.01233961,0.0002675149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3236601,0.0004272493,0.6020957,0.005659535,0.0003224334,0.0009729219,0.00001769234,0.0001382233,0.06670622],"genre_scores_gemma":[0.9441038,0.00003761686,0.04412226,0.001238191,0.00006172628,0.00003899836,0.000002109493,0.00001580971,0.01037945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8897698,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1776753455057715,"score_gpt":0.434996166797143,"score_spread":0.2573208212913715,"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."}}