{"id":"W2990957700","doi":"10.15353/cfs-rcea.v6i3.356","title":"Digging through urban agriculture with feminist theoretical implements","year":2019,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Parallels; Sociology; Urban agriculture; Value (mathematics); Politics; Agriculture; Feminism; Work (physics); Public relations; Political science; Economic growth; Gender studies; Economics; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006973454,0.0009415075,0.0004390895,0.002793101,0.01116412,0.01027502,0.00192202,0.00233105,0.00575756],"category_scores_gemma":[0.002595242,0.0003710798,0.0004069933,0.002193209,0.06980523,0.006979797,0.006620283,0.003703222,0.0004825994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0200138,"about_ca_system_score_gemma":0.0078673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06669664,"about_ca_topic_score_gemma":0.109807,"domain_scores_codex":[0.9961644,0.002809759,0.0000349194,0.000254552,0.0003560715,0.0003803046],"domain_scores_gemma":[0.9966711,0.002483881,0.0001942606,0.0002171723,0.0002111085,0.0002224182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005287009,0.000008136206,0.0002346226,0.00004222166,0.00000134071,0.0001044881,0.06761181,0.0002038855,0.0000540152,0.9262384,0.001723124,0.003772574],"study_design_scores_gemma":[0.000009137142,0.00001522336,0.0005540422,0.0004368856,0.000004194782,0.0001717044,0.1116151,0.000696326,0.000213199,0.4790499,0.4072227,0.00001175493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05412644,0.01963923,0.06768582,0.125757,0.0009459187,0.0001128638,0.0002034998,0.0001018225,0.7314274],"genre_scores_gemma":[0.916667,0.007988949,0.01451559,0.00716298,0.0004536625,0.0002458257,0.00008892888,0.0001161169,0.05276081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9333034,"threshold_uncertainty_score":0.1452109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195540902860065,"score_gpt":0.2149065590116379,"score_spread":0.1953524687256314,"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."}}