{"id":"W4406802869","doi":"10.18280/ijsdp.200125","title":"Accessibility as a Method of Measuring Urban Legibility","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legibility; Computer science; Transport engineering; Architectural engineering; Environmental science; Engineering; Business; Advertising","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00268836,0.00007144331,0.0001667127,0.0003469222,0.0002329869,0.0001254975,0.0003163863,0.00005825023,0.00005216072],"category_scores_gemma":[0.001445913,0.00006862646,0.00003874333,0.0002714757,0.00006221238,0.0004489956,0.00008463575,0.0001386909,4.260764e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268025,"about_ca_system_score_gemma":0.001060583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002303693,"about_ca_topic_score_gemma":0.0000132805,"domain_scores_codex":[0.9986627,0.0001273841,0.0004538234,0.0001111863,0.0004826651,0.0001622464],"domain_scores_gemma":[0.9979171,0.0002292327,0.0003148139,0.00004423999,0.00142933,0.00006534655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003343865,0.0001216824,0.7594859,0.0001080805,0.0003781862,0.0003157092,0.1224558,0.0002075915,0.0001447745,0.09083201,0.001730984,0.02388489],"study_design_scores_gemma":[0.001449535,0.00004282516,0.4196284,0.0007332006,0.00005450114,0.00002452788,0.3410096,0.0001153829,0.005421378,0.01349652,0.2177214,0.0003027167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409854,0.0004679215,0.02142989,0.000629284,0.0004319094,0.00009216156,5.748459e-7,0.00001295961,0.03594987],"genre_scores_gemma":[0.9893396,0.00001500929,0.006821812,0.00013008,0.00009131368,0.00000122221,0.000001794167,0.000002779539,0.003596344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3398575,"threshold_uncertainty_score":0.2798506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263301649656238,"score_gpt":0.3601077089088666,"score_spread":0.3274746924123042,"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."}}