{"id":"W7106211463","doi":"10.1016/j.urbmob.2025.100170","title":"Exploring sustainable accessibility through multimodal networks: Assessing healthy food access in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Canada Excellence Research Chairs, Government of Canada","keywords":"Healthy food; Public transport; Psychological intervention; Universal design; Transit-oriented development; Sustainable transport; Active living; Variety (cybernetics); Cycling; Sustainability","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006074334,0.000274516,0.0007822876,0.0002693972,0.000704898,0.0006072974,0.001278286,0.0002179244,0.00008946066],"category_scores_gemma":[0.001038697,0.0002496189,0.0003362973,0.001768694,0.0004654479,0.008887041,0.000177329,0.0009773053,6.489192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358391,"about_ca_system_score_gemma":0.001530541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01585132,"about_ca_topic_score_gemma":0.01907164,"domain_scores_codex":[0.9953555,0.0008225375,0.001633425,0.0005567738,0.0006692131,0.0009625703],"domain_scores_gemma":[0.9971239,0.0006321457,0.0007302765,0.0005223539,0.0007449964,0.0002463444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003732154,0.0009319719,0.9891903,0.0001946121,0.00003792661,0.00003597776,0.003472442,0.0005562698,0.000003508598,0.0006687508,0.0002193798,0.004315682],"study_design_scores_gemma":[0.001209687,0.0000953284,0.9771217,0.0001480696,0.00004046403,4.096158e-7,0.007878745,0.0002144941,0.00004884415,0.01207362,0.0009696504,0.0001990599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985571,0.001576817,0.003880131,0.0009880813,0.0009845996,0.0006401555,0.000003520234,0.00005007433,0.006305633],"genre_scores_gemma":[0.9985409,0.0002044844,0.000380649,0.0001986154,0.0004709862,0.00003378359,0.000002061109,0.00001279558,0.0001557485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296989,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08477558473689902,"score_gpt":0.3751376940261124,"score_spread":0.2903621092892134,"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."}}