{"id":"W3031502451","doi":"10.2139/ssrn.3452915","title":"Demand Visibility and Capacity Pooling With Temporal Commitments","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Pooling; Visibility; Computer science; Business; Econometrics; Geography; Artificial intelligence; Economics; Meteorology","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":[0.007033363,0.001239007,0.002226532,0.001213397,0.001409662,0.006996467,0.003080813,0.002767412,0.02063737],"category_scores_gemma":[0.04437599,0.00181939,0.002217808,0.002399292,0.003862037,0.01582674,0.006042233,0.003767403,0.0007728832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002250429,"about_ca_system_score_gemma":0.001971944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005269749,"about_ca_topic_score_gemma":0.002689709,"domain_scores_codex":[0.9966586,0.001079022,0.0001939703,0.0007094181,0.0004560126,0.0009030015],"domain_scores_gemma":[0.9558703,0.0316704,0.005398473,0.003745562,0.00141279,0.001902551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006443295,0.0001531664,0.001889639,0.0002048389,0.0001702447,0.0005248302,0.0006793521,0.1321186,0.0009935176,0.8400385,0.002147831,0.02043512],"study_design_scores_gemma":[0.00005420801,0.0001012032,0.0008113777,0.00003451963,0.00008660136,0.0001382348,0.0003535722,0.1882086,0.0003504975,0.8086722,0.001141121,0.00004783348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3373878,0.001330516,0.5802251,0.004387601,0.0003180108,0.0001288077,0.0005752725,0.0003725999,0.07527422],"genre_scores_gemma":[0.9789447,0.0003351408,0.009088772,0.0001204351,0.0001885984,0.00005130209,0.00009511919,0.00009019319,0.0110859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02063737,"threshold_uncertainty_score":0.06903887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011263966233563,"score_gpt":0.1971031863665513,"score_spread":0.1869905467042157,"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."}}