{"id":"W3008385065","doi":"10.1201/9780429275869-1","title":"Creating a supportive public policy framework for urban agriculture","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Urban agriculture; Urban policy; Public policy; Environmental planning; Political science; Policy development; Urban planning; Economic growth; Regional science; Geography; Public administration; Economics; Engineering; Civil engineering","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":[0.004719518,0.0005240104,0.0004063832,0.001262062,0.00409893,0.01026177,0.001428331,0.005200736,0.008627196],"category_scores_gemma":[0.002590441,0.0004063664,0.0003069504,0.001734272,0.00909147,0.006888699,0.004562117,0.005321592,0.002389878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532775,"about_ca_system_score_gemma":0.01763104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009864697,"about_ca_topic_score_gemma":0.02347115,"domain_scores_codex":[0.9981578,0.001025818,0.0000375692,0.0001173361,0.0004535769,0.000207816],"domain_scores_gemma":[0.998675,0.0008032215,0.00008540383,0.00007828678,0.0002325053,0.0001255803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[9.34112e-7,0.00001237597,0.00001774598,0.00005149313,6.304637e-7,0.00002833488,0.0006847978,0.0005654749,0.00003751511,0.9614206,0.02898091,0.008199189],"study_design_scores_gemma":[0.000002183762,0.000003327553,0.00004143066,0.0002768139,9.632668e-7,0.00003003903,0.001102327,0.0002979485,0.00005861266,0.1932044,0.8049771,0.000004819495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001800298,0.02642301,0.01826228,0.1507952,0.003685931,0.0001338661,0.00007819862,0.0002060185,0.7986152],"genre_scores_gemma":[0.2477397,0.07312973,0.05388971,0.064457,0.004731776,0.0009638491,0.0004641667,0.0003934246,0.5542307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01532775,"threshold_uncertainty_score":0.1112111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654619377262403,"score_gpt":0.2327457869355871,"score_spread":0.2061995931629631,"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."}}