{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002250472,0.0003114768,0.000297112,0.0004044073,0.00007683744,0.0004081393,0.0003840024,0.0001800213,0.05589923],"category_scores_gemma":[0.00008135117,0.0002711573,0.00008781991,0.0002006142,0.00005833835,0.0002838762,0.0004280836,0.00013487,0.01188596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002338928,"about_ca_system_score_gemma":0.000007014765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745717,"about_ca_topic_score_gemma":0.0004334469,"domain_scores_codex":[0.9986036,0.000006462124,0.0002971735,0.0003677754,0.000346375,0.0003785541],"domain_scores_gemma":[0.9992093,0.00001527611,0.0003153729,0.0004047936,0.00004397342,0.00001130546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001290325,0.00003232761,0.0001419092,0.0004770679,0.00005208242,0.000009657673,0.00000176646,0.000005730786,3.44306e-7,0.1041734,0.8902104,0.004894025],"study_design_scores_gemma":[0.0001983014,0.000003059861,0.00001215536,0.0001339186,0.00006594831,2.49046e-7,0.00005291791,0.006048337,2.906793e-7,0.002814995,0.9903128,0.0003570073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002934038,0.000071009,0.01261901,0.0003966513,0.0008977992,0.0005041473,0.000004038756,0.0005563962,0.984948],"genre_scores_gemma":[0.0009045465,0.00001578294,0.001144757,0.004190288,0.003352635,0.00004352895,0.0001604683,0.0003953991,0.9897926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1013584,"threshold_uncertainty_score":0.9999741,"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."}}