{"id":"W2016229648","doi":"10.1080/02786826.2011.580798","title":"Personal, Indoor, and Outdoor Concentrations of Fine and Ultrafine Particles Using Continuous Monitors in Multiple Residences","year":2011,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Environment and Climate Change Canada; Health Canada","funders":"","keywords":"Ultrafine particle; Particulates; Environmental science; Pollutant; Environmental chemistry; Morning; Air pollution; Indoor air quality; Air quality index; Atmospheric sciences; Environmental engineering; Chemistry; Meteorology; Geography","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":[0.000424305,0.000403075,0.0003148129,0.0006125097,0.00046604,0.0004673383,0.0002466586,0.000310774,0.0007149769],"category_scores_gemma":[0.001045638,0.0004502643,0.0002639949,0.0007398197,0.0002006262,0.0004228379,0.0004614198,0.0003708364,0.0001850711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970107,"about_ca_system_score_gemma":0.0001976373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252881,"about_ca_topic_score_gemma":0.02124376,"domain_scores_codex":[0.9993414,0.0001027734,0.00005022205,0.0002619894,0.0001669666,0.00007651203],"domain_scores_gemma":[0.9992269,0.00008566113,0.0003155419,0.00006044627,0.0001846198,0.000126743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008552513,0.00003788779,0.9940696,0.0000107015,0.00004027749,0.00006293492,0.0003850714,0.00005995569,0.001789059,0.000003256436,0.00004355443,0.003412265],"study_design_scores_gemma":[0.000005807807,0.000132391,0.9985747,0.00000225694,0.00001947207,0.0001534642,0.0002073513,0.0001511249,0.000604789,0.000003967745,0.000139726,0.000004915737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995334,0.00004060774,0.0001179628,0.000003309006,0.000001007505,0.000006176369,0.0001750809,0.000003333633,0.0001192776],"genre_scores_gemma":[0.9986061,0.00005694885,0.0005889275,0.000006662469,0.000007043966,0.00001849529,0.0003722266,0.000002135554,0.0003414099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252881,"threshold_uncertainty_score":0.02491176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0682403488845479,"score_gpt":0.2934444160887794,"score_spread":0.2252040672042315,"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."}}