{"id":"W4411448683","doi":"10.1016/j.jtrangeo.2025.104332","title":"How does the spatial scale impact accessibility analysis and equity? The case of accessibility to supermarkets in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Mitacs","keywords":"Equity (law); Scale (ratio); Transport engineering; Business; Engineering; Geography; Political science; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005418014,0.0002280956,0.0007266423,0.0006792872,0.0004676494,0.0002018514,0.001024499,0.0001440689,0.0001046494],"category_scores_gemma":[0.0001190959,0.0001081444,0.001014417,0.003540758,0.0009581691,0.0008276328,0.00005365535,0.0004543283,5.582877e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006825125,"about_ca_system_score_gemma":0.0002921497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07403886,"about_ca_topic_score_gemma":0.6061776,"domain_scores_codex":[0.9971469,0.0004745717,0.001018442,0.0003706712,0.0005628266,0.0004265725],"domain_scores_gemma":[0.997976,0.0004174992,0.0004434212,0.0005381735,0.0004030841,0.0002217962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004196134,0.0002543115,0.9736544,0.00005427076,0.000406819,0.00009204954,0.003947931,0.00002521647,0.00005210171,0.000009504866,0.00001311594,0.0210707],"study_design_scores_gemma":[0.0004571829,0.00005267179,0.9927899,0.00004352458,0.0009369865,0.000002937519,0.002737019,0.00002392772,0.0001727249,0.002613857,0.00005071488,0.0001185322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934381,0.0005115923,0.001010861,0.003674471,0.0002044792,0.0004814874,0.000104235,0.000009542769,0.0005652903],"genre_scores_gemma":[0.9995632,0.0001388757,0.00007189214,0.00009039088,0.0000879425,0.000007934632,0.000003365081,0.000005163405,0.00003118893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5321388,"threshold_uncertainty_score":0.9321272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072643339470655,"score_gpt":0.3259616030562804,"score_spread":0.3152351696615739,"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."}}