{"id":"W3156704517","doi":"10.1051/e3sconf/202125103001","title":"Food Waste in Developed Countries and Cold Chain Logistics","year":2021,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Cold chain; Business; Supply chain; Production (economics); Food waste; Agriculture; Food packaging; Food processing; Supply chain management; Fresh food; Commerce; Agricultural economics; Marketing; Waste management; Engineering; Economics; Food science; Shelf life; Geography","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":[0.001054833,0.0004402463,0.0003260461,0.003449273,0.002406606,0.005964178,0.0005968991,0.002269986,0.00460913],"category_scores_gemma":[0.001150904,0.0002423264,0.0004344549,0.01112308,0.00340044,0.003805145,0.002955489,0.0009138579,0.000409702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004053472,"about_ca_system_score_gemma":0.003785368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303648,"about_ca_topic_score_gemma":0.01663324,"domain_scores_codex":[0.9985161,0.0005870725,0.00008939567,0.0001077499,0.0003816462,0.0003180645],"domain_scores_gemma":[0.998652,0.0004275265,0.0005243751,0.00008088208,0.000228711,0.00008651328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003018467,0.0002661873,0.08152322,0.004399261,0.000121102,0.00925047,0.02190375,0.006399743,0.002879295,0.4347511,0.04071705,0.397487],"study_design_scores_gemma":[0.00001865072,0.0001656533,0.0901728,0.005370814,0.00008262718,0.004304287,0.08977494,0.001676536,0.004454906,0.08704782,0.7167734,0.0001576837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3835863,0.1629565,0.0131419,0.06245588,0.00138879,0.0001220985,0.001086785,0.0001697016,0.3750921],"genre_scores_gemma":[0.8864481,0.0812281,0.004738908,0.005381152,0.0004469007,0.00005121842,0.0004402235,0.00004161717,0.02122381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303648,"threshold_uncertainty_score":0.02941012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301687276573426,"score_gpt":0.2349219463322015,"score_spread":0.2019050735664673,"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."}}