{"id":"W2343213712","doi":"10.15665/rde.v14i1.596","title":"RE-APPROXIMATING FOOD PRODUCERS AND CONSUMERS IN METRO VANCOUVER // REAPROXIMANDO PRODUCTORES Y CONSUMIDORES DE ALIMENTOS EN LA REGIÓN METROPOLITANA DE VANCOUVER // REAPROXIMANDO PRODUTORES E CONSUMIDORES DE ALIMENTOS NA REGIÃO METROPOLITANA DE VANCOUVER","year":2016,"lang":"en","type":"article","venue":"Dimensión Empresarial","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food sovereignty; CONTEST; Food systems; Food market; Political science; Business; Food security; Economy; Geography; Economics; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002940576,0.001045869,0.001231598,0.000209754,0.0005728004,0.0002798261,0.000820473,0.0006878332,0.0002093369],"category_scores_gemma":[0.002462337,0.0004859005,0.0003191489,0.0009108438,0.0009482048,0.0007184772,0.000484373,0.0007078022,0.000007892392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520743,"about_ca_system_score_gemma":0.0003832304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00500063,"about_ca_topic_score_gemma":0.05855679,"domain_scores_codex":[0.9919345,0.001712166,0.00118458,0.001905252,0.0009371841,0.002326363],"domain_scores_gemma":[0.9960461,0.00165502,0.0007173382,0.0005675872,0.0002911859,0.0007227662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00217778,0.0008650043,0.1459648,0.000288153,0.001185106,0.0001626595,0.003208572,0.00001226222,0.6559692,0.003808465,0.1803971,0.005960937],"study_design_scores_gemma":[0.01218513,0.002705651,0.0464871,0.00110089,0.001191653,0.0000789011,0.02899704,0.0002033593,0.8330652,0.01242583,0.05786328,0.00369593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990468,0.001690588,0.00003263182,0.002765486,0.0009010425,0.002091996,0.0002921551,0.0003876228,0.001370452],"genre_scores_gemma":[0.9928752,0.0002517381,0.003352181,0.0004944217,0.001199224,0.0002786548,0.00003844405,0.00004085149,0.001469264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177096,"threshold_uncertainty_score":0.9997593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008965659378644407,"score_gpt":0.2176273040236471,"score_spread":0.2086616446450026,"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."}}