{"id":"W2037669701","doi":"10.1038/sj.jes.7500634","title":"A scripted activity study of the impact of protective advice on personal exposure to ultra-fine and fine particulate matter and volatile organic compounds","year":2007,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health; Environment and Climate Change Canada; University of Toronto; Health Canada","funders":"U.S. Environmental Protection Agency","keywords":"Particulates; Environmental chemistry; Environmental science; Advice (programming); Chemistry; Organic chemistry; Computer science","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":[0.00559344,0.0002107622,0.0005938831,0.0001099692,0.0002754621,0.000007985969,0.0003194255,0.00009430185,0.0003230544],"category_scores_gemma":[0.0006584429,0.000129635,0.0000942216,0.0003630724,0.0013993,0.0003375757,0.0002123253,0.0004214923,0.000007245539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386055,"about_ca_system_score_gemma":0.00004965241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004741177,"about_ca_topic_score_gemma":0.0001953285,"domain_scores_codex":[0.9972509,0.0005488283,0.0008534902,0.0003514787,0.000504734,0.0004905987],"domain_scores_gemma":[0.9978575,0.0005268132,0.0009498312,0.0002516939,0.00001604428,0.000398166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004657216,0.000525597,0.746226,0.000007207626,0.00001967628,0.000002996907,0.003642721,0.0007815291,0.2470421,0.000001774137,0.0001168824,0.00116782],"study_design_scores_gemma":[0.0008640889,0.008267533,0.9835362,0.00003536356,0.000024851,0.000138059,0.0008916217,0.0001649813,0.005826422,0.0001230397,0.0000119708,0.0001158704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998215,0.00005285978,0.0001398918,0.0008981804,0.00007816507,0.0005335885,0.00001243865,0.000003138462,0.0000666956],"genre_scores_gemma":[0.9991373,0.000006097779,0.0003239852,0.0004743419,0.00002957398,0.000002462215,2.3635e-7,0.000009295317,0.00001670284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2412157,"threshold_uncertainty_score":0.5286362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257997935534358,"score_gpt":0.3285299075675137,"score_spread":0.2959499282121701,"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."}}