{"id":"W4225272839","doi":"10.1111/area.12796","title":"Inter‐ and intra‐racial/ethnic disparities in walking accessibility to grocery stores","year":2022,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Chinese University of Hong Kong","keywords":"Inequality; Ethnic group; Demographic economics; Population; Health equity; Census; Geography; Demography; Sociology; Economics; Health care; Economic growth; Mathematics","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":[0.001009163,0.00009187593,0.0001664258,0.00009292304,0.000497598,0.00007776044,0.0003330606,0.0000387649,0.0006164439],"category_scores_gemma":[0.0001668156,0.00009391175,0.00003749046,0.0004416259,0.0001860124,0.0003896425,0.0001818401,0.0002263952,0.000002289734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800452,"about_ca_system_score_gemma":0.0000906898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01139274,"about_ca_topic_score_gemma":0.08525853,"domain_scores_codex":[0.9986844,0.0001794688,0.0002251158,0.0003367991,0.0002680044,0.0003062099],"domain_scores_gemma":[0.9995186,0.0001328722,0.00004678065,0.0001667411,0.00002536239,0.0001096876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003866991,0.00006618497,0.9564473,0.00001569441,0.000003572131,0.000007898147,0.02551538,0.000003795099,0.00003758471,0.0006559503,0.0001961665,0.01701177],"study_design_scores_gemma":[0.0001230934,0.00002517589,0.9844795,0.00001268307,0.000005270164,1.332402e-7,0.006044866,0.00001305453,0.00002928974,0.006888138,0.002249442,0.0001293786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947521,0.0004930176,0.00004370657,0.001193974,0.0002846786,0.0002342088,0.00001629104,0.00006250632,0.002919531],"genre_scores_gemma":[0.9990519,0.00002114534,0.0000413437,0.0004320068,0.00007513133,0.00006423816,0.000006480327,0.000006981771,0.0003007209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07386579,"threshold_uncertainty_score":0.9951905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070028651192807,"score_gpt":0.3293765549679833,"score_spread":0.2886762684560553,"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."}}