{"id":"W4382518203","doi":"10.1016/j.ejor.2023.06.020","title":"Optimal pricing and donation policy for fresh goods","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Donation; Expiration date; Newsvendor model; Quality (philosophy); Business; Economic shortage; Marketing; Economics; Microeconomics; Supply chain; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00287036,0.001379389,0.002044423,0.0008714313,0.0006724691,0.002709531,0.001822066,0.002948826,0.007035494],"category_scores_gemma":[0.0083109,0.001721957,0.001318829,0.0007401906,0.002010127,0.003811216,0.001448602,0.002543252,0.0005143735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446571,"about_ca_system_score_gemma":0.002193804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007188471,"about_ca_topic_score_gemma":0.003927229,"domain_scores_codex":[0.9987501,0.0005017979,0.00005412861,0.0002651892,0.0001363804,0.0002924115],"domain_scores_gemma":[0.9967239,0.002143685,0.0003742845,0.0001324087,0.0002580743,0.0003676004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003169401,0.0001494025,0.0009458443,0.0001533469,0.00005318644,0.000280946,0.0001102897,0.9593129,0.0009768569,0.02809929,0.001346054,0.008255069],"study_design_scores_gemma":[0.00003321014,0.0000802436,0.0003039684,0.0000185421,0.00002074859,0.00003786129,0.00008083649,0.9847494,0.0002611674,0.01379959,0.0005945011,0.00001990666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3504186,0.002722349,0.61303,0.003369287,0.0004590263,0.0006350089,0.0006469871,0.0005016215,0.02821726],"genre_scores_gemma":[0.9635215,0.0005641397,0.02736836,0.0001686023,0.00006028004,0.000102049,0.0001646585,0.00008406034,0.007966294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007188471,"threshold_uncertainty_score":0.02353609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172584882350576,"score_gpt":0.3630932351062686,"score_spread":0.2458347468712109,"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."}}