{"id":"W4224311813","doi":"10.3390/land11050622","title":"The Socio-Cultural Benefits of Urban Agriculture: A Review of the Literature","year":2022,"lang":"en","type":"review","venue":"Land","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Agence Nationale de la Recherche; National Science Foundation","keywords":"Urban agriculture; Agriculture; Food systems; Economic growth; Business; Geography; Environmental planning; Food security; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002095406,0.0009896811,0.001989823,0.007366181,0.0005376598,0.002264037,0.0008780123,0.001187313,0.003032092],"category_scores_gemma":[0.005856309,0.0005105484,0.001384756,0.0100584,0.000799685,0.002104442,0.001173272,0.001009534,0.0004053954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537765,"about_ca_system_score_gemma":0.00469563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005109975,"about_ca_topic_score_gemma":0.01190542,"domain_scores_codex":[0.9989134,0.0003131702,0.0002733296,0.0001475964,0.0002914222,0.00006120751],"domain_scores_gemma":[0.9952342,0.003657274,0.0004943113,0.00005429592,0.0004590674,0.0001009722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009716816,0.00005617728,0.0009828641,0.4082345,0.0007376956,0.0002738864,0.0009990273,0.00029578,0.000441925,0.002714572,0.01313938,0.5720269],"study_design_scores_gemma":[0.00003439832,0.0001557843,0.01128067,0.4909753,0.003613245,0.002123305,0.00242164,0.0001545733,0.0003408734,0.002910858,0.4859147,0.00007457461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001866156,0.9993868,0.00002993994,0.0001496228,0.0000433991,0.000004169897,0.00001723451,0.000001389324,0.0001808187],"genre_scores_gemma":[0.001434337,0.9983031,0.00007433112,0.00009306377,0.00002957077,0.000006080459,0.00001502007,7.648043e-7,0.00004376086],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007366181,"threshold_uncertainty_score":0.01115733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305604698166684,"score_gpt":0.2430887465480043,"score_spread":0.2200326995663375,"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."}}