{"id":"W4293236262","doi":"10.1016/j.cities.2022.103930","title":"Growing resilient: The potential of urban agriculture for increasing food security and improving earthquake recovery","year":2022,"lang":"en","type":"article","venue":"Cities","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Resilience (materials science); Agriculture; Food security; Emergency management; Environmental planning; Preparedness; Urban agriculture; Work (physics); Business; Psychological resilience; Environmental resource management; Economic growth; Geography; Political science; Engineering; 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":[0.0004922692,0.0001107673,0.0001548015,0.000007899737,0.0008723511,0.00005711782,0.0001818949,0.00003409701,0.0000397561],"category_scores_gemma":[0.0001077929,0.00003614567,0.0001290092,0.0001794284,0.00009385023,0.0001597221,0.0001949602,0.0001504427,1.140128e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000322646,"about_ca_system_score_gemma":0.00001036301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003501707,"about_ca_topic_score_gemma":0.0002234191,"domain_scores_codex":[0.9990063,0.0001774874,0.0001863939,0.0002233669,0.0001860322,0.0002203645],"domain_scores_gemma":[0.9994261,0.0002963722,0.0001022864,0.0000519316,0.00008477827,0.00003856157],"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":[0.002585466,0.0008396252,0.07108598,0.0009044272,0.0004327151,0.00002780015,0.01936657,0.0003870096,0.700424,0.03489662,0.0324066,0.1366432],"study_design_scores_gemma":[0.0009366545,0.004925334,0.5786285,0.0000462561,0.0002196826,0.0001868219,0.2731014,0.0001846184,0.009906285,0.04115389,0.0897103,0.001000246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996969,0.001378141,0.000002728603,0.0007548418,0.0001186936,0.00036371,0.0001779913,0.00002997522,0.0002048958],"genre_scores_gemma":[0.9992639,0.000009546078,0.00001825109,0.0001506819,0.0002017349,0.00005544073,0.000051941,8.055032e-7,0.0002477099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6905177,"threshold_uncertainty_score":0.6709507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006438720221245129,"score_gpt":0.1692519536932184,"score_spread":0.1628132334719733,"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."}}