{"id":"W4386881355","doi":"10.32920/24171618.v1","title":"Getting Civil About Food: The Interactions between Civil Society and the State to Advance Sustainable Food Systems in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil society; Food systems; Deregulation; Political science; Commission; State (computer science); Sustainability; Politics; Food policy; Corporate governance; Public administration; Right to food; Political economy; Food security; Sociology; Geography; Law; Economics; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.001900304,0.0002477952,0.0002260532,0.0008737739,0.02101731,0.01155452,0.001143648,0.001845933,0.01025541],"category_scores_gemma":[0.003123518,0.0002384578,0.0002899081,0.001815558,0.01137209,0.002755182,0.005018737,0.003861986,0.0003563955],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1534928,"about_ca_system_score_gemma":0.2413627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907204,"about_ca_topic_score_gemma":0.9969316,"domain_scores_codex":[0.9973421,0.0004940075,0.00002613744,0.0001565013,0.0005336805,0.00144754],"domain_scores_gemma":[0.9971003,0.0004060995,0.0001057613,0.00006618672,0.0006117084,0.001709884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001060167,0.0001254201,0.02215743,0.0002224041,0.00004200933,0.001034209,0.05310343,0.002912947,0.001081684,0.7167584,0.1199229,0.08253308],"study_design_scores_gemma":[0.00004710582,0.00003633549,0.04400915,0.0004774499,0.00005040729,0.0001329804,0.1301743,0.003936592,0.00092541,0.07670405,0.7433791,0.0001271662],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2280665,0.00684686,0.002777376,0.2122052,0.0006313117,0.000149398,0.0003152571,0.00007437484,0.5489338],"genre_scores_gemma":[0.9553028,0.003257301,0.00143518,0.005046892,0.0000382569,0.00002623219,0.0001070989,0.00003306082,0.03475306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1534928,"threshold_uncertainty_score":0.9818283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328683917472035,"score_gpt":0.2074221680101935,"score_spread":0.1941353288354731,"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."}}