{"id":"W651697397","doi":"","title":"A Statistical Model Explaining Air Pollution Exposures of Cyclists in Urban Environments","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Environmental science; Downtown; Air pollution; Air quality index; Wind speed; Relative humidity; Meteorology; Geography; Transport engineering; Atmospheric sciences; Engineering; Forestry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01143394,0.0003794064,0.0006235359,0.0008362617,0.0006247165,0.0000461633,0.0006759451,0.0003740778,0.000671243],"category_scores_gemma":[0.0009043519,0.0004002083,0.000134774,0.001602922,0.001598556,0.0009291784,0.00003580272,0.001607021,0.0001951603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020759,"about_ca_system_score_gemma":0.0002336289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01562337,"about_ca_topic_score_gemma":0.02118094,"domain_scores_codex":[0.9882571,0.002124714,0.001719794,0.001112765,0.004862763,0.001922871],"domain_scores_gemma":[0.9967089,0.001327542,0.0002849969,0.0005988971,0.0002393705,0.0008402974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00257138,0.001413108,0.687427,0.0007654322,0.00004972766,0.00008688225,0.05130653,0.194388,0.01101375,0.0255374,0.01571334,0.009727428],"study_design_scores_gemma":[0.001709008,0.0007090598,0.9661849,0.000221147,0.00001369909,2.462781e-7,0.00379933,0.01226969,0.001738069,0.004598464,0.008364673,0.000391751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974533,0.00003982462,0.01823726,0.002623429,0.00006542694,0.001313897,0.0003912857,0.00007647082,0.002719357],"genre_scores_gemma":[0.9892073,0.0001341017,0.009055587,0.0003729836,0.00007379978,0.0002692619,0.0002999284,0.00007096524,0.0005160549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787578,"threshold_uncertainty_score":0.999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07194179697489127,"score_gpt":0.3881391943005653,"score_spread":0.316197397325674,"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."}}