{"id":"W4317662073","doi":"10.1016/j.jclepro.2023.136052","title":"Ordering the right quantity? Examining the impact of plate size vagueness on food waste in an online food delivery system","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Vagueness; Food waste; Economic shortage; Order (exchange); Population; Process (computing); Business; Environmental economics; Sustainable agriculture; Marketing; Economics; Sustainability; Engineering; Computer science; Waste management; Environmental health; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001456448,0.0001123808,0.0002139639,0.00004583299,0.0001829916,0.00004269291,0.0002354956,0.00005438634,0.000007927885],"category_scores_gemma":[0.0002676409,0.00003152695,0.0001267969,0.0006803191,0.00006564947,0.0002917318,0.00003446518,0.0002735329,6.74917e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076855,"about_ca_system_score_gemma":0.00002958148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001069981,"about_ca_topic_score_gemma":0.0004618894,"domain_scores_codex":[0.9985525,0.0003438106,0.0004562612,0.0001698681,0.0002920046,0.0001855583],"domain_scores_gemma":[0.9990163,0.000202971,0.0003674106,0.0001073715,0.000260903,0.00004497065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002080586,0.001201026,0.03827332,0.0002453019,0.0003124575,0.00002985154,0.003660867,0.3719118,0.2498674,0.0002894543,0.0004788054,0.3316491],"study_design_scores_gemma":[0.0003348305,0.006526701,0.8508954,0.0001896593,0.00002971098,0.0001987103,0.1297062,0.001319878,0.01025517,0.0002129738,0.0001609024,0.0001698943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979632,0.0000630097,7.573155e-7,0.001243083,0.0004994135,0.000184657,0.000006660719,0.00002129525,0.00001785],"genre_scores_gemma":[0.9991528,0.00003254567,0.000006750574,0.000007889576,0.0007634978,0.000001989622,0.000002841512,0.000001756095,0.00002989281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8126221,"threshold_uncertainty_score":0.1407442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662644577953291,"score_gpt":0.2710198596700558,"score_spread":0.2143934138905229,"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."}}