{"id":"W4412593969","doi":"10.1016/j.jum.2025.07.004","title":"Public perceptions of Montréal's streets: Implications for inclusive public space making and management","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Public space; Perception; Space (punctuation); Sociology; Aesthetics; Public relations; Geography; Psychology; Political science; Art; Engineering; Architectural engineering; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004144285,0.0003950427,0.0002537392,0.0009626701,0.006269908,0.004750249,0.0008675304,0.0006410845,0.005404316],"category_scores_gemma":[0.009675405,0.0001705373,0.0003056282,0.001021377,0.005712298,0.002607505,0.00308858,0.0008130652,0.0001392053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257495,"about_ca_system_score_gemma":0.008543042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4776463,"about_ca_topic_score_gemma":0.6273619,"domain_scores_codex":[0.9972645,0.001406459,0.00005888771,0.0001588768,0.0005980414,0.0005133866],"domain_scores_gemma":[0.9962998,0.001229101,0.0006292443,0.0002165333,0.000833293,0.0007921289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003730425,0.0002741482,0.1639123,0.0004740843,0.0001042471,0.00154605,0.6474001,0.002271827,0.006329822,0.03920137,0.01072466,0.1273884],"study_design_scores_gemma":[0.00001957522,0.0003009021,0.2609128,0.0002787771,0.0000555972,0.000155647,0.6687648,0.0009090433,0.00113787,0.005182407,0.0621416,0.0001410515],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466869,0.0005652684,0.002621219,0.006466762,0.00004444519,0.0001215725,0.0001668984,0.00007014771,0.04325661],"genre_scores_gemma":[0.9980689,0.0001493627,0.0003886404,0.0001086884,0.000007541117,0.00002499463,0.00002166741,0.00000688733,0.00122335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5223536,"threshold_uncertainty_score":0.9497322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103220743442729,"score_gpt":0.3278109224073323,"score_spread":0.296778714972905,"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."}}