{"id":"W4255115521","doi":"10.1002/div.2043","title":"Sysco Corp.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Marketing; Food products; Food industry; Chain (unit); Distribution (mathematics); Advertising; Commerce; Agricultural science; Food science; Mathematics; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009112331,0.001582261,0.0007807476,0.003210595,0.001660191,0.003187367,0.001109791,0.001214551,0.6673784],"category_scores_gemma":[0.001596969,0.0009497599,0.0004473427,0.002158517,0.0005042922,0.002274045,0.001728219,0.001441584,0.510852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103317,"about_ca_system_score_gemma":0.002199188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004509653,"about_ca_topic_score_gemma":0.008464552,"domain_scores_codex":[0.9989089,0.00008719394,0.00006636864,0.0002703331,0.0005692535,0.00009812009],"domain_scores_gemma":[0.9981304,0.0001965325,0.0001104807,0.0002647912,0.0009873831,0.0003104463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003723988,0.0002350897,0.001309571,0.000531777,0.00001518935,0.0002349026,0.0002127464,0.0002606781,0.006030295,0.01228719,0.6559782,0.3225319],"study_design_scores_gemma":[0.00005089945,0.00006355779,0.0008332724,0.00009094939,0.00001193166,0.0002056776,0.00006851852,0.0004159476,0.001619896,0.0009031412,0.9957262,0.00001002829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003513467,0.002286359,0.009133948,0.00162786,0.0006864469,0.0004515063,0.01612859,0.0157662,0.9504057],"genre_scores_gemma":[0.009145562,0.001069274,0.004782433,0.0005135457,0.00008608941,0.0001902983,0.01054084,0.001266074,0.9724057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6673784,"threshold_uncertainty_score":0.4744444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088079340305567,"score_gpt":0.1986291587224925,"score_spread":0.1877483653194368,"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."}}