{"id":"W2519688379","doi":"10.1016/j.envpol.2016.06.014","title":"Fine particulate matter (PM2.5) in Edmonton, Canada: Source apportionment and potential risk for human health","year":2016,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency","keywords":"Environmental science; Environmental health; Health risk assessment; Particulates; Interquartile range; Apportionment; Aerosol; Public health; Sulfate; Biomass burning; Hazardous waste; Health risk; Environmental chemistry; Toxicology; Environmental engineering; Medicine; Chemistry; Geography; Waste management; Meteorology; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005231411,0.0004152117,0.0002014658,0.001304563,0.001544956,0.001032815,0.00082074,0.0005505786,0.002146368],"category_scores_gemma":[0.0008148832,0.0002931847,0.000386107,0.002244764,0.0005521933,0.0003731603,0.0006714602,0.0005035928,0.0001809734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02018815,"about_ca_system_score_gemma":0.0248364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965071,"about_ca_topic_score_gemma":0.9981347,"domain_scores_codex":[0.9996058,0.00004019513,0.00001817887,0.00006922672,0.0001366296,0.0001298587],"domain_scores_gemma":[0.9995436,0.00004003739,0.00006853585,0.00001417932,0.0002479446,0.000085703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002329581,0.00005624107,0.9736622,0.00009895563,0.0001165668,0.0003062512,0.001045293,0.0008127338,0.0007548089,0.0007777853,0.003573412,0.0185628],"study_design_scores_gemma":[0.000005046326,0.00001422833,0.9960994,0.00004480531,0.00003000457,0.00005963633,0.0008536549,0.0005714318,0.0001968723,0.00009391798,0.002018398,0.00001262491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853287,0.003927216,0.0004973491,0.001082843,0.00003595351,0.00003949413,0.00460366,0.00002051271,0.004464214],"genre_scores_gemma":[0.9883637,0.002019445,0.0005006089,0.0001883563,0.00001464292,0.00001222562,0.001450668,0.00001069787,0.00743965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02018815,"threshold_uncertainty_score":0.146476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111222564364266,"score_gpt":0.2384804957414607,"score_spread":0.2273582393050341,"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."}}