{"id":"W4406122773","doi":"10.1016/j.ecolind.2024.113063","title":"Supply-disposition storage of fresh fruits and vegetables and food loss in the Canadian supply chain","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disposition; Food supply; Supply chain; Food chain; Food storage; Cold storage; Business; Environmental science; Food science; Agricultural science; Horticulture; Biology; Ecology; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004310495,0.000445568,0.0002254892,0.001277763,0.001573197,0.00150661,0.0009304056,0.0003320767,0.003130168],"category_scores_gemma":[0.001284338,0.0002991377,0.0007680129,0.003715231,0.0006280734,0.0006895816,0.0009759654,0.0003938477,0.0002327651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03793842,"about_ca_system_score_gemma":0.02957349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958768,"about_ca_topic_score_gemma":0.9973752,"domain_scores_codex":[0.9995958,0.00001863263,0.00001773298,0.00006438493,0.0001718379,0.0001315556],"domain_scores_gemma":[0.9991789,0.00005238486,0.0001379568,0.00002477331,0.0005193723,0.00008667349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001745587,0.00003367405,0.9657478,0.0001294052,0.0000986506,0.0002976187,0.0009515057,0.006432416,0.001323307,0.0008523965,0.001466685,0.02249185],"study_design_scores_gemma":[0.000002661911,0.00001839499,0.9904554,0.00003553662,0.00004024596,0.00005480345,0.00161335,0.004585594,0.000475704,0.0001407557,0.002556016,0.0000215574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885861,0.0007586611,0.0006175649,0.0003684867,0.000006403407,0.00003616509,0.005269206,0.00003150554,0.004325894],"genre_scores_gemma":[0.9916316,0.0007095097,0.0006172504,0.00004360094,0.000001787662,0.00001138749,0.002597789,0.000009204436,0.004378017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03793842,"threshold_uncertainty_score":0.2752638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007602413251331192,"score_gpt":0.2123049950748633,"score_spread":0.2047025818235321,"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."}}