{"id":"W2483261816","doi":"10.1016/j.jth.2016.07.002","title":"The health impacts of traffic-related exposures in urban areas: Understanding real effects, underlying driving forces and co-producing future directions","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Noise Effects and Management","field":"Health Professions","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Economic and Social Research Council","keywords":"Transport engineering; Environmental science; Environmental health; Engineering; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113695,0.0005714734,0.0005186304,0.0009330346,0.0006417879,0.002624169,0.0006654758,0.001448424,0.003237745],"category_scores_gemma":[0.002562074,0.0004008214,0.0007427527,0.000958217,0.0007623908,0.0017759,0.001293325,0.0007513966,0.0002608641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418293,"about_ca_system_score_gemma":0.002134005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03449572,"about_ca_topic_score_gemma":0.06809748,"domain_scores_codex":[0.9991417,0.000361979,0.00004336785,0.0001497174,0.0001240457,0.0001792542],"domain_scores_gemma":[0.9983525,0.000744387,0.0003116278,0.00007677106,0.0003613429,0.0001534896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005774898,0.0007645341,0.8946433,0.001072037,0.0006591997,0.00049654,0.001971223,0.005189363,0.004976762,0.00458521,0.002009779,0.08305449],"study_design_scores_gemma":[0.00001519579,0.0003688529,0.9746369,0.0003412339,0.0002241022,0.0002596455,0.008431814,0.003428118,0.0005932408,0.006543127,0.005109018,0.00004868368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445955,0.03094796,0.002660233,0.01390896,0.000245924,0.00004356808,0.001236499,0.00003274546,0.00632856],"genre_scores_gemma":[0.9829385,0.01410809,0.001000398,0.0004799318,0.0003061711,0.0000254125,0.0002634737,0.000006668062,0.0008714012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03449572,"threshold_uncertainty_score":0.06858987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087753979327904,"score_gpt":0.3748912295573215,"score_spread":0.3340136897640425,"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."}}