{"id":"W4407745079","doi":"10.2139/ssrn.5110026","title":"No Spoilers: Food Waste and Supply Chain Traceability","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Traceability; Supply chain; Business; Food waste; Food supply; Chain (unit); Food chain; Waste management; Environmental science; Computer science; Agricultural science; Engineering; Marketing; Geology; Software engineering","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":[0.001160591,0.0006036314,0.0005605876,0.0005920711,0.0004996296,0.001850826,0.0007729071,0.001329759,0.008602818],"category_scores_gemma":[0.005293728,0.0003631237,0.0004669798,0.0006532235,0.001164597,0.004099654,0.001171543,0.0009899702,0.0006493924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601574,"about_ca_system_score_gemma":0.0008066587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361099,"about_ca_topic_score_gemma":0.001564869,"domain_scores_codex":[0.9990626,0.0002162047,0.00003396115,0.0003205893,0.0002190618,0.0001476818],"domain_scores_gemma":[0.9967231,0.001347128,0.0004957585,0.0007990759,0.0004447152,0.0001902683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004740321,0.0008302427,0.02854656,0.001242664,0.0002008955,0.001213141,0.0004697564,0.06752394,0.05388501,0.4599506,0.01015667,0.3712402],"study_design_scores_gemma":[0.00009359295,0.00095715,0.01198394,0.0001500871,0.0001682559,0.001241289,0.0006588325,0.26403,0.08596031,0.616424,0.01823875,0.00009381036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712655,0.001516334,0.2800854,0.002029688,0.0004470242,0.00005934708,0.0006313052,0.000547564,0.04341785],"genre_scores_gemma":[0.963766,0.0005233459,0.01647718,0.00009775854,0.00006373445,0.0000177339,0.0003784583,0.0001086745,0.01856712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008602818,"threshold_uncertainty_score":0.02877933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009174280608392196,"score_gpt":0.2192650075169028,"score_spread":0.2100907269085106,"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."}}