{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003202601,0.00009685737,0.000113758,0.0008320799,0.0003570578,0.0004124722,0.0001750009,0.0001609503,0.004830654],"category_scores_gemma":[0.001039329,0.00005348878,0.0001556645,0.001034514,0.000270773,0.0003132728,0.0005974162,0.0002036956,0.0001581678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809851,"about_ca_system_score_gemma":0.0002240004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387336,"about_ca_topic_score_gemma":0.0251935,"domain_scores_codex":[0.9997421,0.00007542937,0.00001789842,0.00004521765,0.0000411563,0.00007823131],"domain_scores_gemma":[0.9995852,0.0001065777,0.0001269051,0.00002639368,0.00006502935,0.00008985688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007850663,0.00008578951,0.9886997,0.00002152999,0.0000488171,0.0000345161,0.0008063472,0.0001341558,0.0003322014,0.0007891194,0.0002791742,0.008690058],"study_design_scores_gemma":[0.000002619968,0.00002293914,0.9973627,0.0000162864,0.00001550935,0.00002677582,0.001508613,0.0003308613,0.00006712905,0.0002879553,0.0003560666,0.00000247579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979353,0.00008089599,0.00009556242,0.00005542672,0.000002976696,0.000003985007,0.0001497015,0.000001162771,0.00167504],"genre_scores_gemma":[0.999647,0.00003482261,0.00004915469,0.0000111359,0.000002710124,0.000002990591,0.00008367254,5.32429e-7,0.0001679359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387336,"threshold_uncertainty_score":0.02758521,"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."}}