{"id":"W4410835667","doi":"10.1108/case.kellogg.2025.000006","title":"CaLNG : Peak Shaving to Alleviate a Supply-Demand Bottleneck","year":2021,"lang":"en","type":"article","venue":"Kellogg School of Management Cases","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Bottleneck; Demand management; Business; Operations management; Industrial organization; On demand; Computer science; Marketing; Economics; Commerce","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":[0.001938995,0.0005415396,0.0003127028,0.001012501,0.003402624,0.003812766,0.002105907,0.002547337,0.02151999],"category_scores_gemma":[0.003399366,0.0003645683,0.0005526114,0.001105278,0.001838014,0.004878525,0.002549868,0.00223249,0.001427406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005239078,"about_ca_system_score_gemma":0.006280545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03813257,"about_ca_topic_score_gemma":0.07690742,"domain_scores_codex":[0.9987879,0.0001794108,0.00003080747,0.0001194204,0.0003371806,0.0005451638],"domain_scores_gemma":[0.9984612,0.0003796732,0.0001063483,0.0002190413,0.0004091059,0.0004246125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005112023,0.0008055021,0.0128325,0.000338788,0.00004781191,0.01324896,0.003222824,0.04475957,0.005390985,0.6134478,0.1806604,0.1247337],"study_design_scores_gemma":[0.0003129006,0.0006289333,0.007398503,0.0003447974,0.00007226741,0.003901521,0.01443169,0.2113724,0.008702387,0.1745421,0.5781273,0.0001652201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2093556,0.0009187651,0.09612054,0.02136407,0.0006464224,0.0009307497,0.000562322,0.002117055,0.6679845],"genre_scores_gemma":[0.8844972,0.0005798165,0.02892737,0.002614445,0.0001678211,0.0001617716,0.0003188597,0.0002411905,0.08249165],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03813257,"threshold_uncertainty_score":0.07582122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461071132666617,"score_gpt":0.243607177765705,"score_spread":0.2289964664390388,"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."}}