{"id":"W4321499793","doi":"10.3390/su15053893","title":"Elderly Walking Access to Street Markets in Chile: An Asset for Food Security in an Unequal Country","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Centro de Desarrollo Urbano Sustentable","keywords":"Asset (computer security); Food security; Pension; Business; Population; Financial security; Physical access; Geography; Economic growth; Economics; Finance; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145753,0.0001335576,0.0002010992,0.0008661518,0.0007409651,0.001160576,0.0003199016,0.0002335581,0.004069867],"category_scores_gemma":[0.001156302,0.0000900948,0.0002220369,0.001037798,0.0006092844,0.0009478922,0.001816526,0.0002716957,0.0002045853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653437,"about_ca_system_score_gemma":0.0009233526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06500527,"about_ca_topic_score_gemma":0.08745869,"domain_scores_codex":[0.9998555,0.00003622417,0.000008576436,0.00001812364,0.00002014399,0.00006135014],"domain_scores_gemma":[0.9996672,0.00006624885,0.0001075588,0.00001858515,0.00006399881,0.00007644127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001814197,0.0001750279,0.9189432,0.0003836754,0.00008552399,0.001663679,0.02229641,0.0006269854,0.001012561,0.005373319,0.003092982,0.04616516],"study_design_scores_gemma":[0.00001125188,0.00007009078,0.949084,0.0002629564,0.00003782719,0.0003158437,0.03855273,0.0007104683,0.000156207,0.001235599,0.009541624,0.00002143382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937159,0.0003941896,0.0001473105,0.0004985448,0.000004859586,0.00001259345,0.0003445637,0.000003937451,0.004878127],"genre_scores_gemma":[0.9983828,0.000345924,0.0001191209,0.00003292329,0.000004703043,0.00001249146,0.0001433252,0.00000181004,0.0009568933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06500527,"threshold_uncertainty_score":0.1292538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701348023872309,"score_gpt":0.3733750912581498,"score_spread":0.3463616110194267,"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."}}