{"id":"W1504690206","doi":"10.1002/9781118492185.ch2","title":"Forecasting Logistics Requirements","year":2013,"lang":"en","type":"other","venue":"","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Demand forecasting; Matching (statistics); Operations research; Computer science; Variable (mathematics); Judgement; Econometrics; Lag; Industrial engineering; Economics; Engineering; Statistics; Mathematics","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":[0.0007136508,0.0008256716,0.0003118053,0.003149397,0.0003412631,0.001703924,0.0007006313,0.0006853378,0.01996213],"category_scores_gemma":[0.004428372,0.0003068518,0.000471575,0.003513174,0.0001144321,0.00264919,0.0007284873,0.0006167126,0.01210677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194447,"about_ca_system_score_gemma":0.00082539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008362236,"about_ca_topic_score_gemma":0.00861262,"domain_scores_codex":[0.9992378,0.00009721829,0.00005224107,0.00008681459,0.0004534177,0.00007260414],"domain_scores_gemma":[0.9982519,0.0004454491,0.0001736751,0.0001789245,0.0008825934,0.00006754573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002386791,0.0001452176,0.03479297,0.0006805143,0.00005313634,0.0004448777,0.0003838096,0.2004777,0.007961305,0.03549287,0.1476682,0.5716606],"study_design_scores_gemma":[0.0000242629,0.0001174057,0.04846026,0.0003876123,0.00004037511,0.000435633,0.001554008,0.6329047,0.008110114,0.03739132,0.2704662,0.0001079851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1844656,0.001960851,0.282033,0.004535461,0.0004015881,0.0008419909,0.06361449,0.004671639,0.4574753],"genre_scores_gemma":[0.7339098,0.00464041,0.1209543,0.0003043435,0.0001990942,0.0003676521,0.06133604,0.0006955997,0.07759254],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01996213,"threshold_uncertainty_score":0.06677997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016199758281791,"score_gpt":0.268373609969271,"score_spread":0.1667536341410919,"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."}}