{"id":"W4404456293","doi":"10.52842/conf.caadria.2024.2.475","title":"The Effects of Curbside Cafés on Bike Travel Behaviours: Spatiotemporal Evidence from Toronto","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Transport engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002569596,0.0001847613,0.0002321703,0.0001690206,0.0002980646,0.0004193171,0.002318983,0.0000803743,0.00005279637],"category_scores_gemma":[0.000768155,0.000113423,0.0001518199,0.00040084,0.0007736009,0.0004089819,0.000188762,0.0006851819,0.000004673151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733573,"about_ca_system_score_gemma":0.0004364419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092122,"about_ca_topic_score_gemma":0.004957799,"domain_scores_codex":[0.9964471,0.0002591424,0.000472909,0.0004824474,0.001924002,0.0004143452],"domain_scores_gemma":[0.9955747,0.003398748,0.000159909,0.0001856355,0.0005788867,0.0001021455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002828125,0.0008249789,0.1033737,0.0006694805,0.0003879277,0.00006353098,0.03789599,0.0001638413,0.09835862,0.2409515,0.003745768,0.5107365],"study_design_scores_gemma":[0.0008974016,0.001841733,0.5785856,0.02094112,0.00004328906,0.000003372469,0.0019921,0.02847556,0.1740484,0.1922945,0.0002596869,0.0006172963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986944,0.0004369599,0.0004667059,0.007573005,0.001002531,0.0009932929,0.00002034838,0.00003941524,0.002523803],"genre_scores_gemma":[0.9983367,0.000177389,0.0008674742,0.0000252999,0.0002894466,0.00005577879,0.000002394068,0.0000130965,0.0002323843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5101192,"threshold_uncertainty_score":0.9855986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374844097537596,"score_gpt":0.4046324527084727,"score_spread":0.2671480429547131,"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."}}