{"id":"W2566131547","doi":"10.15353/cfs-rcea.v3i2.171","title":"New CSR in the food system: Industry and non-traditional corporate food interests","year":2016,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Corporate governance; Corporate social responsibility; Food systems; Government (linguistics); Food industry; Business; General partnership; Food processing; Civil society; Public relations; Political science; Food security; Agriculture; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007910686,0.0002909648,0.0002880487,0.002073353,0.006665587,0.01147888,0.0009205192,0.00310974,0.003315894],"category_scores_gemma":[0.004413414,0.0002045886,0.000345215,0.002422059,0.03714717,0.009130343,0.00568996,0.003963889,0.0001614398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02865236,"about_ca_system_score_gemma":0.01684805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1257302,"about_ca_topic_score_gemma":0.1782266,"domain_scores_codex":[0.9917824,0.003430958,0.0001172495,0.0007623969,0.002235673,0.001671147],"domain_scores_gemma":[0.9938566,0.002925591,0.0005552217,0.0004475582,0.001308561,0.0009064869],"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":[0.00001038839,0.0000211877,0.002083297,0.00006898121,0.000005559702,0.0001436514,0.02570806,0.0001708406,0.0002803532,0.9469825,0.003107296,0.02141771],"study_design_scores_gemma":[0.00001502002,0.0000740708,0.01360267,0.0005109233,0.00001170783,0.0002622181,0.06343648,0.0009748951,0.0004815746,0.3802258,0.5403628,0.00004172049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1880993,0.02453255,0.0141008,0.2287089,0.0007467356,0.00006892704,0.00004967441,0.00003876491,0.5436544],"genre_scores_gemma":[0.9699981,0.00563564,0.001394786,0.006018637,0.0002804531,0.00002156582,0.00001758352,0.00001430892,0.01661906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8742698,"threshold_uncertainty_score":0.2499967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06572033434424025,"score_gpt":0.2057795416478859,"score_spread":0.1400592073036456,"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."}}