{"id":"W2726622977","doi":"10.47339/ephj.2015.113","title":"Comparing carbon dioxide levels within urban transport microenvironments during rush hour and non-rush traffic","year":2015,"lang":"en","type":"article","venue":"BCIT Environmental Public Health Journal","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rush hour; Carbon dioxide; Ventilation (architecture); Air quality index; Indoor air quality; Environmental science; Environmental engineering; Transport engineering; Engineering; Meteorology; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390818,0.0001475816,0.0001590311,0.0004920341,0.000289689,0.0004205183,0.0001753725,0.0001765139,0.001224993],"category_scores_gemma":[0.0003111841,0.00007203117,0.0001590223,0.000486471,0.0002156881,0.0002283987,0.00021553,0.0001430274,0.0001475561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989375,"about_ca_system_score_gemma":0.0002287774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008591653,"about_ca_topic_score_gemma":0.01632778,"domain_scores_codex":[0.9998073,0.00002693394,0.00001463767,0.00006223753,0.00005190592,0.00003695027],"domain_scores_gemma":[0.9996626,0.00007057121,0.0001185748,0.00001363471,0.00008843638,0.00004620292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005683879,0.0001107589,0.9679598,0.0001005683,0.00009009804,0.0001924986,0.0007564435,0.000362078,0.02145311,0.00006538732,0.0002289364,0.008111864],"study_design_scores_gemma":[0.000001292025,0.0001373035,0.9970208,0.000002633579,0.00001021908,0.00004296556,0.0004624523,0.0001560279,0.002003345,0.00001061751,0.0001495028,0.000002837623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999025,0.00005283548,0.0001472357,0.000005434513,0.000003430539,0.000008271136,0.0003630919,0.000005393599,0.0003893356],"genre_scores_gemma":[0.9989705,0.00003245704,0.0001773934,0.000006029143,0.000004129586,0.00001735516,0.0005352973,0.000001939985,0.0002548154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008591653,"threshold_uncertainty_score":0.01708329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399446101767707,"score_gpt":0.2801346572888663,"score_spread":0.1961401962711892,"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."}}