{"id":"W2023134308","doi":"10.1177/0270467604263564","title":"Traffic Calming: A Social Issue","year":2004,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Traffic calming; Mindset; Transport engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288921,0.0001150408,0.0002045928,0.0001225626,0.0002894342,0.00001380466,0.0005085681,0.000186989,0.0001418457],"category_scores_gemma":[0.00003073537,0.0001119904,0.0001471316,0.001654061,0.002526101,0.00002653992,0.00006719811,0.0002094725,0.0000924647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268999,"about_ca_system_score_gemma":0.00004626172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003430309,"about_ca_topic_score_gemma":0.000006184933,"domain_scores_codex":[0.9989502,0.000003135682,0.0001959942,0.0002221493,0.0002490137,0.0003794564],"domain_scores_gemma":[0.9996622,0.000009817541,0.00003914092,0.0001742302,0.00007216141,0.00004248823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001367553,0.0005935381,0.0007769886,0.0002617543,0.0004399419,0.00003295697,0.04106513,0.07984524,0.5505808,0.01409917,0.2073439,0.1049469],"study_design_scores_gemma":[0.003624186,0.0005421132,0.002011469,0.0001538056,0.0002660167,0.00006911576,0.04336171,0.02640917,0.361019,0.005477258,0.5548566,0.00220954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867605,0.0003686009,0.002732155,0.007743883,0.0001122953,0.00009490858,0.000003637785,0.0007640148,0.00142],"genre_scores_gemma":[0.9929385,0.00005071235,0.006666622,0.00009896153,0.00004162375,0.000009374739,4.866234e-7,0.00001090917,0.0001828701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475127,"threshold_uncertainty_score":0.9307525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006655227502562542,"score_gpt":0.2036267191893885,"score_spread":0.196971491686826,"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."}}