{"id":"W1995063720","doi":"10.1038/jes.2010.15","title":"Validation of continuous particle monitors for personal, indoor, and outdoor exposures","year":2010,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Environment and Climate Change Canada; Health Canada","funders":"","keywords":"Aethalometer; Environmental science; Exposure assessment; Ultrafine particle; Environmental monitoring; Meteorology; Atmospheric sciences; Environmental engineering; Statistics; Engineering; Carbon black; Geography; Mathematics; Materials science; Physics","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":[0.006479784,0.0001442285,0.000461479,0.00006581753,0.0002637658,0.00001248486,0.0003084055,0.0001305234,0.0002808345],"category_scores_gemma":[0.001988621,0.0001142864,0.0001042604,0.0001205708,0.002396657,0.0005929723,0.0001258085,0.0003015123,0.00001109614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009959115,"about_ca_system_score_gemma":0.00004774669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005310761,"about_ca_topic_score_gemma":0.000009230663,"domain_scores_codex":[0.9977471,0.0002029826,0.0009543409,0.0002742066,0.0003533011,0.0004681339],"domain_scores_gemma":[0.9977758,0.0007253132,0.0009455582,0.0001526043,0.00001550443,0.0003852381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008800388,0.0001102679,0.7094081,0.000008442047,0.000005944023,0.000001281287,0.001252883,0.00006062816,0.2791896,0.0001006498,0.0003058384,0.009468341],"study_design_scores_gemma":[0.0008443278,0.001843038,0.9272875,0.00001324155,0.00002927389,0.0001378669,0.0009607728,0.0004876335,0.064245,0.001839891,0.002157884,0.0001535461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966645,0.0001729866,0.0005822896,0.001853505,0.0004374181,0.000215467,0.00001322847,0.000004778052,0.00005577511],"genre_scores_gemma":[0.9923444,0.00008116929,0.006627304,0.0007764805,0.0001186466,0.000004731161,0.000001270314,0.000008965176,0.00003704082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178794,"threshold_uncertainty_score":0.8830583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067716100893465,"score_gpt":0.335480055739535,"score_spread":0.2948028947306004,"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."}}