{"id":"W4395449871","doi":"10.1016/j.ijpe.2024.109260","title":"Weather rebate sharing contract for enhancing supply chain performance","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CVAR; Supply chain; Revenue sharing; Risk aversion (psychology); Pareto principle; Business; Profit (economics); Revenue; Risk neutral; Expected utility hypothesis; Microeconomics; Risk management; Computer science; Expected shortfall; Finance; Economics; Operations management; Marketing","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":[0.005406026,0.0007220973,0.0007521972,0.0005134695,0.0007566239,0.00142192,0.001392704,0.001029965,0.003696209],"category_scores_gemma":[0.01006976,0.0003070959,0.0006072588,0.000785288,0.0008410192,0.004665818,0.001744615,0.001178247,0.0004822839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222718,"about_ca_system_score_gemma":0.002100795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266809,"about_ca_topic_score_gemma":0.0007904255,"domain_scores_codex":[0.996068,0.001732485,0.0002549376,0.0004946644,0.001049935,0.000400043],"domain_scores_gemma":[0.9943037,0.002020343,0.001338198,0.001127142,0.0007321229,0.0004784606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000627804,0.0004277927,0.008555095,0.000217892,0.0001126106,0.0004183037,0.0004575868,0.7284666,0.02328032,0.08116515,0.002664303,0.1536065],"study_design_scores_gemma":[0.00006746092,0.0004209362,0.002132199,0.00003202733,0.00004354417,0.0002515095,0.0001309423,0.960609,0.006716032,0.02448468,0.005046614,0.00006505236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2315655,0.0004423447,0.755766,0.0005709346,0.0001140647,0.0002872573,0.0001597724,0.0004592075,0.01063494],"genre_scores_gemma":[0.9535884,0.0001365427,0.04440685,0.0000504585,0.00003265871,0.00006801989,0.00006711993,0.00004188637,0.001608172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005406026,"threshold_uncertainty_score":0.02859014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993111098600878,"score_gpt":0.2391349048301422,"score_spread":0.2192037938441334,"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."}}