{"id":"W1967213301","doi":"10.1021/es803127d","title":"Intake Fraction of Urban Wood Smoke","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Smoke; Levoglucosan; Particulates; Population; Geometric standard deviation; Fraction (chemistry); Atmospheric sciences; Air pollution; Range (aeronautics); Environmental engineering; Meteorology; Aerosol; Geography; Environmental health; Chemistry; Engineering; Biomass burning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004226279,0.0002763025,0.0003751454,0.0008844353,0.0002468094,0.000573042,0.0004386822,0.0002004283,0.003251471],"category_scores_gemma":[0.001209227,0.0001355438,0.000420661,0.0009619151,0.0001673017,0.0003208295,0.0004176276,0.0001472039,0.0007034704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884694,"about_ca_system_score_gemma":0.0003226804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01946004,"about_ca_topic_score_gemma":0.01753209,"domain_scores_codex":[0.9996703,0.00004638438,0.00002875674,0.00008971981,0.0001304267,0.00003453305],"domain_scores_gemma":[0.9995337,0.0001187739,0.0001271251,0.00007247052,0.0001287221,0.0000192964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004044836,0.00009841586,0.8882735,0.0002162445,0.0004851827,0.0002463267,0.0003788813,0.02092195,0.01265525,0.001976094,0.001303476,0.07304018],"study_design_scores_gemma":[0.00001202918,0.0001480725,0.9414266,0.00006000414,0.0002043175,0.0006794327,0.0004514597,0.02326158,0.01911999,0.003063464,0.01152335,0.00004965171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966552,0.0008551875,0.01625413,0.00006376659,0.000009536539,0.00005897373,0.006611138,0.0001944661,0.009400885],"genre_scores_gemma":[0.9900421,0.0003327857,0.002692858,0.0000242861,0.000006362775,0.0000388304,0.004311967,0.00003601156,0.00251475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01946004,"threshold_uncertainty_score":0.03869349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170126313730906,"score_gpt":0.2748331657342005,"score_spread":0.2578205343611099,"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."}}