{"id":"W2748277077","doi":"10.3390/su9081455","title":"Assessing and Planning Sustainable City Region Food Systems: Insights from Two Latin American Cities","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Daniel et Nina Carasso; Bundesministerium für Ernährung und Landwirtschaft","keywords":"Food security; Food systems; Environmental planning; Latin Americans; Sustainability; Geography; Context (archaeology); Urban planning; Urban resilience; Urbanization; Urban agriculture; City region; Poverty; Stakeholder; Economic growth; Environmental resource management; Political science; Agriculture; Economy; Economics; Engineering; Civil engineering; Ecology","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001827084,0.0002127111,0.0003181732,0.0000104977,0.001653741,0.001259679,0.0003335459,0.00009143872,0.00001181032],"category_scores_gemma":[0.0008589203,0.00008167329,0.00006393664,0.0001329772,0.0003860259,0.0006366526,0.000311441,0.0002140364,9.257987e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000230824,"about_ca_system_score_gemma":0.00003940195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122365,"about_ca_topic_score_gemma":0.0005900683,"domain_scores_codex":[0.9984995,0.0001551412,0.0002217318,0.000502822,0.0001933507,0.0004274847],"domain_scores_gemma":[0.9986893,0.0002275841,0.0002946783,0.0002055823,0.0004419328,0.0001409515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003945,0.0001576196,0.9357679,0.0002425006,0.0000787032,0.0001997844,0.003057179,0.00002810814,0.00324777,0.01331578,0.001166699,0.04263757],"study_design_scores_gemma":[0.0001660984,0.0002066871,0.9066174,0.00003626044,0.00001566133,0.000003579312,0.07477261,0.00003140184,0.0002301746,0.01022648,0.007444997,0.0002486677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994552,0.0004820964,0.000008350991,0.003753421,0.0001053897,0.0003471875,0.00001107701,0.000109308,0.0006311304],"genre_scores_gemma":[0.9988183,0.000006646927,0.00001968532,0.00004582483,0.000561075,0.00001439693,0.00002120263,0.000001518763,0.0005113186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07171543,"threshold_uncertainty_score":0.9997771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627064793957538,"score_gpt":0.2620399925050256,"score_spread":0.2357693445654502,"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."}}