{"id":"W2605150808","doi":"","title":"Extreme Local Food: Two Case Studies in Assisted Urban Small Plot Intensive Agriculture","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Agriculture; Geography; Food processing; Investment (military); Urban agriculture; Agricultural economics; Business; Agricultural science; Forestry; Political science; Economics; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001839088,0.0003171236,0.0004396879,0.00001982224,0.0003208826,0.00002780797,0.0002206235,0.0001615248,0.00009696265],"category_scores_gemma":[0.0002388658,0.00008973583,0.0001801876,0.0008028821,0.0003238452,0.0001476033,0.0001555772,0.0003027879,0.00002610101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885022,"about_ca_system_score_gemma":0.00001472723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494774,"about_ca_topic_score_gemma":0.05895953,"domain_scores_codex":[0.9981204,0.0001756347,0.0004077822,0.0005654898,0.0002112972,0.0005193891],"domain_scores_gemma":[0.9986169,0.0002905534,0.00008850889,0.00009141247,0.0007425153,0.0001700793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000499863,0.00329914,0.4335597,0.0001735147,0.0007129224,0.04963969,0.02057731,0.00009647779,0.06791372,0.004233968,0.3547192,0.06457448],"study_design_scores_gemma":[0.001782426,0.002304969,0.7483486,0.00008712341,0.0000943768,0.01825819,0.1805996,0.00007105937,0.003947272,0.001098923,0.04162178,0.001785706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948625,0.001238476,0.0000081539,0.001260659,0.0001315059,0.0004266354,0.00001429921,0.000162037,0.001895719],"genre_scores_gemma":[0.9952745,0.00005017444,0.0000807012,0.0008261416,0.0002731985,0.00004524662,0.00003525195,0.000001198451,0.003413555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3147888,"threshold_uncertainty_score":0.958212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256521418726936,"score_gpt":0.2558727007186286,"score_spread":0.130220558845935,"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."}}