{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007448644,0.00114179,0.000669184,0.0009071507,0.0007940347,0.001562053,0.001975541,0.002707671,0.0009045764],"category_scores_gemma":[0.01164208,0.0006519243,0.0009554419,0.0007726423,0.0008882424,0.0006320956,0.0007289491,0.001111539,0.0007348018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255967,"about_ca_system_score_gemma":0.001270497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00645925,"about_ca_topic_score_gemma":0.006059394,"domain_scores_codex":[0.9891228,0.003458668,0.0006175832,0.002422106,0.004090608,0.0002881858],"domain_scores_gemma":[0.9892533,0.004623529,0.0008832914,0.001558302,0.003413259,0.0002682716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005086319,0.002332449,0.696314,0.0004305154,0.0009501398,0.0001358616,0.002204406,0.003134685,0.1980403,0.0005974903,0.002560118,0.08821376],"study_design_scores_gemma":[0.0006954491,0.01055302,0.6883037,0.0002597299,0.001411284,0.001851908,0.0007483355,0.0318642,0.2532902,0.0007154109,0.01017078,0.0001360099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233572,0.001279288,0.06875978,0.0002560301,0.0002518193,0.0005941878,0.00231437,0.0004728235,0.002714375],"genre_scores_gemma":[0.9623708,0.0003785464,0.03148203,0.0004545371,0.0000934112,0.0008045552,0.002344618,0.0001083583,0.001963184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007448644,"threshold_uncertainty_score":0.03939265,"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."}}