{"id":"W7064376079","doi":"","title":"Cities and agriculture developing resilient urban food systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; Dipartimento della Protezione Civile, Presidenza del Consiglio dei Ministri; European Commission; University College London; International Development Research Centre; FP7 International Cooperation; World Wildlife Fund","keywords":"Agriculture; Food systems; Food security; Urban agriculture; Food supply; Food processing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004840697,0.0000789343,0.00008874201,0.00003824533,0.00002196832,0.00004885147,0.0000630916,0.00008048504,0.000001438958],"category_scores_gemma":[0.00001875019,0.00005661936,0.000009815808,0.00007389628,0.00001942335,0.00005361953,0.00002991109,0.00006683791,0.00001036114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003618851,"about_ca_system_score_gemma":0.000006456884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008806127,"about_ca_topic_score_gemma":0.00001711604,"domain_scores_codex":[0.9996511,0.000005262197,0.00008223522,0.00007532527,0.00006835491,0.0001177046],"domain_scores_gemma":[0.9998365,0.000009935244,0.000006441016,0.00008805147,0.00001897979,0.00004006932],"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":[0.000009939496,0.00002257641,0.05758733,0.0007705049,0.0003066269,0.00002935268,0.008035664,0.008135383,0.00993489,0.3813381,0.5284471,0.0053826],"study_design_scores_gemma":[0.002555181,0.000559785,0.02662335,0.0004238993,0.00005639967,0.0002499871,0.1394003,0.04439373,0.1453428,0.004691559,0.6329329,0.002770076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569632,0.007381859,0.001551458,0.00008919197,0.0003502211,0.0001124962,0.0000016715,0.001520627,0.0320293],"genre_scores_gemma":[0.9985115,0.00009047932,0.0005236815,0.00001652862,0.00002942858,0.000009846943,0.000001475668,0.000007641022,0.0008094516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3766465,"threshold_uncertainty_score":0.2308871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391896465065684,"score_gpt":0.1919109471748126,"score_spread":0.1679919825241558,"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."}}