{"id":"W1980067860","doi":"10.3763/ijas.2009.0452","title":"Agronomic considerations for urban agriculture in southern cities","year":2010,"lang":"en","type":"article","venue":"International Journal of Agricultural Sustainability","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Food security; Business; Agriculture; Environmental planning; Production (economics); Urban agriculture; Natural resource economics; Food processing; Psychological intervention; Agricultural economics; Environmental science; Environmental protection; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007543741,0.000264775,0.0003796924,0.00004804889,0.0001649013,0.0002234062,0.0005865634,0.0002263348,0.0002576402],"category_scores_gemma":[0.001790795,0.00009092151,0.0004416757,0.0002491366,0.0001431951,0.0005204917,0.0000869316,0.0005651394,0.000003542014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004298054,"about_ca_system_score_gemma":0.0001119253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004212397,"about_ca_topic_score_gemma":0.004646965,"domain_scores_codex":[0.9978773,0.0001148107,0.0008686975,0.0003202535,0.0004283529,0.0003905581],"domain_scores_gemma":[0.9948023,0.0008015956,0.0004599673,0.00007609431,0.003692753,0.0001672841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00069658,0.002067197,0.3586137,0.00008157693,0.0003621013,0.0001054308,0.008695794,0.0004637466,0.5498079,0.02110897,0.04436704,0.01362995],"study_design_scores_gemma":[0.0006858135,0.000248258,0.9421318,0.00001486096,0.00002921256,0.000164421,0.02058916,0.000005815907,0.001556051,0.02076856,0.01348232,0.000323718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860232,0.00008702745,0.00000928274,0.01202787,0.0008711048,0.0006148038,0.0001118276,0.00003064549,0.0002241693],"genre_scores_gemma":[0.997394,0.000005196779,0.0003165036,0.0001644972,0.001428381,0.00004104901,0.0000566771,0.000001563253,0.0005921704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5835181,"threshold_uncertainty_score":0.3707672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009150533716787805,"score_gpt":0.2263629144531345,"score_spread":0.2172123807363467,"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."}}