{"id":"W632667017","doi":"","title":"Urban agriculture : growing healthy, sustainable places","year":2011,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban agriculture; Post-industrial society; Agriculture; Urban planning; Popularity; Environmental planning; Geography; Population; Population growth; Business; Sustainable community; Economic growth; Political science; Sustainable development; Sociology; Civil engineering; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008504057,0.0005536329,0.0009713555,0.0000434176,0.0004462541,0.00003344991,0.0006443129,0.002895795,0.004425829],"category_scores_gemma":[0.0003679415,0.0001954753,0.0002199851,0.0001931529,0.0008566258,0.0001493561,0.000503584,0.001469523,0.00008456713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597767,"about_ca_system_score_gemma":0.0002338771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324616,"about_ca_topic_score_gemma":0.002304976,"domain_scores_codex":[0.9964194,0.0004150261,0.0005895379,0.0009974911,0.0004248844,0.001153629],"domain_scores_gemma":[0.9980671,0.0006609808,0.0002503229,0.0001337423,0.0002207451,0.0006670723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004337285,0.0005081397,0.01161431,0.0004732971,0.0002938619,0.002862491,0.0009675261,7.620441e-8,0.000123854,0.3062838,0.6510288,0.02541017],"study_design_scores_gemma":[0.0004215428,0.001437336,0.01077899,0.00005146526,0.0001236611,0.0006720002,0.0007026231,0.000001824131,0.00001505641,0.05406919,0.931071,0.0006553145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1432996,0.0252512,0.00001443419,0.01980649,0.001897095,0.001947964,0.00007378839,0.0006631924,0.8070462],"genre_scores_gemma":[0.05060362,0.0008438549,0.00001569189,0.005033372,0.001272372,0.00008653822,0.0006760515,0.000004955491,0.9414635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2800422,"threshold_uncertainty_score":0.9983987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902997988045022,"score_gpt":0.2039106460884628,"score_spread":0.1948806662080125,"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."}}