{"id":"W4406203980","doi":"10.1016/j.trpro.2024.12.025","title":"Quantifying the Effects of Traffic Calming Devices on Noise Levels","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Qatar University","keywords":"Traffic calming; Traffic noise; Noise (video); Computer science; Poison control; Transport engineering; Medicine; Engineering; Medical emergency; Artificial intelligence; Noise reduction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001719635,0.000117697,0.0001995862,0.0003000732,0.0007716279,0.00001150222,0.0002640866,0.00009671863,0.00005273621],"category_scores_gemma":[0.0004874984,0.000078044,0.00005808081,0.0007699108,0.000101359,0.00008726896,0.00001393122,0.0007014821,0.00006420306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006126193,"about_ca_system_score_gemma":0.0002480247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002050047,"about_ca_topic_score_gemma":0.001847113,"domain_scores_codex":[0.9978124,0.0004471032,0.0004127856,0.0002626061,0.0005860489,0.0004789793],"domain_scores_gemma":[0.9960471,0.003202558,0.0001024292,0.0002532578,0.0003301477,0.00006448031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00129206,0.001277765,0.1363082,0.1090071,0.0006809841,0.0001119544,0.08226354,0.002733971,0.0422319,0.4295669,0.06537405,0.1291516],"study_design_scores_gemma":[0.001354459,0.0002406404,0.9752993,0.003036141,0.00005610973,2.040314e-8,0.004334008,0.0003226276,0.003567081,0.0002706885,0.01139193,0.0001270197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922389,0.0002747597,0.0002375244,0.001734603,0.0004111055,0.002836913,0.00001061759,0.00009760184,0.002157964],"genre_scores_gemma":[0.9970508,0.00005845321,0.00007691656,0.0004739199,0.00006830875,0.0006858616,0.00001229539,0.00002037287,0.001553099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.838991,"threshold_uncertainty_score":0.5934815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625161253522679,"score_gpt":0.5135881147192375,"score_spread":0.3510719893669696,"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."}}