{"id":"W1918184222","doi":"10.1080/02723638.2015.1056606","title":"Urban agriculture and the sustainability fix in Vancouver and Detroit","year":2015,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Urban agriculture; Grassroots; Sustainability; Agriculture; Context (archaeology); Injustice; Metropolitan area; Urban planning; Corporate governance; Political science; Economic growth; Geography; Economics; Politics; Law; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006098775,0.0001703135,0.0001933604,0.0008914651,0.0156001,0.005361785,0.0006568725,0.0008259738,0.003055813],"category_scores_gemma":[0.001056095,0.0001847266,0.00008631524,0.002488094,0.007370132,0.0006295213,0.003145834,0.001205632,0.0001402841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03314593,"about_ca_system_score_gemma":0.01657385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414421,"about_ca_topic_score_gemma":0.9923211,"domain_scores_codex":[0.9992325,0.0002209964,0.00001193274,0.0000744711,0.0001439098,0.0003162471],"domain_scores_gemma":[0.9992114,0.0001702428,0.00008664573,0.00003225516,0.0001827425,0.0003167236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004247841,0.0001938071,0.2005187,0.000322438,0.00007283478,0.006477752,0.5158593,0.001170729,0.004233601,0.1228042,0.02913875,0.1187831],"study_design_scores_gemma":[0.00001923905,0.00005652503,0.2239784,0.0002112842,0.00002148581,0.0004671002,0.5626699,0.0003076971,0.0007328662,0.003000077,0.208471,0.0000645384],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291288,0.001484772,0.0001604646,0.003488934,0.00004181884,0.00002144396,0.00008785276,0.000009934645,0.06557594],"genre_scores_gemma":[0.9821234,0.0006157751,0.000143926,0.0003466106,0.000005590984,0.00001171979,0.00005235968,0.00000924606,0.01669129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05855787,"threshold_uncertainty_score":0.2404917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005041477245213323,"score_gpt":0.172122613880903,"score_spread":0.1670811366356897,"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."}}