{"id":"W2035752337","doi":"10.1080/19320240802243175","title":"Getting Civil About Food: The Interactions Between Civil Society and the State to Advance Sustainable Food Systems in Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Hunger & Environmental Nutrition","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; York University; Wilfrid Laurier University; Toronto Metropolitan University","funders":"","keywords":"Civil society; Food systems; State (computer science); Commission; Sustainability; Deregulation; Politics; Political science; Corporate governance; Public administration; Right to food; Food policy; Food security; Political economy; Economic growth; Sociology; Law; Economics; Geography; Management; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008269394,0.0001238769,0.0003202171,0.00004103117,0.002646464,0.000009200611,0.0001263908,0.00004273147,0.0000290849],"category_scores_gemma":[0.00003679484,0.00007565616,0.00007628416,0.00008609419,0.00009577334,0.0001688452,0.0001455808,0.0006751001,0.000003688689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232407,"about_ca_system_score_gemma":0.0002473217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1067767,"about_ca_topic_score_gemma":0.6522003,"domain_scores_codex":[0.9981048,0.0003327289,0.000627916,0.0001183972,0.0002303713,0.000585796],"domain_scores_gemma":[0.9987141,0.0006262169,0.0004292956,0.0001112863,0.00004105897,0.00007802733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009951026,0.0006655222,0.6220658,0.001186311,0.001102248,0.0001791115,0.2860726,0.003319897,0.0007622125,0.0003395845,0.08190455,0.001407041],"study_design_scores_gemma":[0.00507579,0.0007157322,0.3627896,0.0003870307,0.00008777953,0.0001630444,0.485195,0.00009577781,0.00002927579,0.0004658768,0.1447411,0.0002539913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988728,0.004562176,0.00007481853,0.00499212,0.0003699858,0.001032319,0.00004191571,0.00000311132,0.0001955759],"genre_scores_gemma":[0.9950401,0.003252561,0.00004608354,0.000926819,0.0003555058,0.0001180005,0.000003789406,0.00001431877,0.0002427948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5454236,"threshold_uncertainty_score":0.998652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280074983863051,"score_gpt":0.2639481721217091,"score_spread":0.2511474222830786,"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."}}