{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127588,0.0005479282,0.0003745386,0.001001009,0.009964689,0.002490175,0.001909891,0.002699992,0.00569868],"category_scores_gemma":[0.002056627,0.0003662753,0.0004124341,0.002066497,0.004151277,0.001154741,0.003491337,0.001968662,0.0005041509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005226473,"about_ca_system_score_gemma":0.001954962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05806066,"about_ca_topic_score_gemma":0.2313231,"domain_scores_codex":[0.9985789,0.0007432915,0.00003328838,0.0001443804,0.0001725819,0.0003274635],"domain_scores_gemma":[0.9983109,0.0006971977,0.000161105,0.0001241405,0.0001887233,0.0005178562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008671167,0.004531255,0.08453231,0.0008866814,0.00009480403,0.2302045,0.581452,0.004679576,0.006258284,0.02272094,0.008986897,0.05478567],"study_design_scores_gemma":[0.00007326896,0.0008269056,0.03409451,0.0002442776,0.00002888783,0.01146711,0.8789117,0.001356272,0.001590561,0.002371275,0.06896125,0.00007404502],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831269,0.0001358296,0.0007703874,0.0007092777,0.00001395389,0.0001622236,0.00007379039,0.000008733605,0.01499891],"genre_scores_gemma":[0.980379,0.0005211017,0.002138025,0.0003375047,0.0000176255,0.0001760705,0.0001036203,0.00001956155,0.01630734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05806066,"threshold_uncertainty_score":0.1154454,"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."}}