{"id":"W4317435603","doi":"10.1016/b978-0-12-820286-9.00002-9","title":"Translating unique agricultural precedents into public urban agriculture design","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allotment; Realm; Agriculture; Urban agriculture; Relation (database); Geography; Political science; Environmental planning; Ecology; Archaeology","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":[0.0006665908,0.0003064987,0.0001165471,0.0003976558,0.001587422,0.00348013,0.0005552039,0.0007783485,0.01008428],"category_scores_gemma":[0.0008900333,0.0001980478,0.0002049604,0.0004569673,0.004736297,0.002103067,0.001809158,0.001158371,0.001110437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006376,"about_ca_system_score_gemma":0.001444312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274869,"about_ca_topic_score_gemma":0.01187362,"domain_scores_codex":[0.9996663,0.0001741935,0.00001179308,0.00003772274,0.00007906351,0.00003094743],"domain_scores_gemma":[0.9996086,0.000236413,0.00001885923,0.00006194238,0.00004638797,0.00002791736],"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":[0.00001653701,0.00005147032,0.0004060789,0.0002417346,0.000002824188,0.0004029591,0.03020701,0.001957159,0.00218499,0.8657026,0.01582581,0.08300081],"study_design_scores_gemma":[0.000004961714,0.00003516388,0.000606446,0.000274254,0.000004757974,0.0003435985,0.01192231,0.001512312,0.001432226,0.08166137,0.9021911,0.00001147804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04656446,0.001787187,0.06165283,0.004562406,0.0004461505,0.00009469604,0.00007373606,0.0004175381,0.884401],"genre_scores_gemma":[0.5984979,0.004110896,0.0856273,0.0009127303,0.00009920495,0.0001681469,0.000156634,0.0003747964,0.3100524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01008428,"threshold_uncertainty_score":0.03373528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111629209870833,"score_gpt":0.215391785579453,"score_spread":0.1842754934807447,"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."}}