{"id":"W3216344321","doi":"10.3390/atmos12121564","title":"Quantification and Characterization of Metals in Ultrafine Road Dust Particles","year":2021,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Ottawa; The Scarborough Hospital; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Particulates; Ultrafine particle; Road dust; Environmental chemistry; Environmental science; Aerosol; Particle size; Mass concentration (chemistry); Environmental engineering; Chemistry; Meteorology; Physics","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":[0.0001429798,0.0002470663,0.0001824148,0.000825164,0.0003544977,0.0004414465,0.0003285128,0.0003071009,0.0003734069],"category_scores_gemma":[0.0002637792,0.0001051641,0.000144091,0.000394172,0.0002586729,0.0001354792,0.0001917108,0.0001756029,0.0001919348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005251404,"about_ca_system_score_gemma":0.0005773379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05443444,"about_ca_topic_score_gemma":0.108787,"domain_scores_codex":[0.9997029,0.00001653741,0.00001107621,0.00008194614,0.0001456819,0.00004193266],"domain_scores_gemma":[0.9998733,0.00001956095,0.00002281809,0.000008327219,0.00006313522,0.00001293009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000713034,0.00002372261,0.03803176,0.0001059756,0.000027149,0.00008413653,0.000215741,0.0001941607,0.9513158,0.00004184829,0.00005360114,0.009834934],"study_design_scores_gemma":[0.00001092576,0.0003563076,0.4973657,0.00002869002,0.0000539349,0.0004858277,0.0005899667,0.002495713,0.4937484,0.00008792703,0.004759067,0.00001759225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944512,0.0006811609,0.00352447,0.00001524413,0.000004190538,0.00003391519,0.0005823403,0.00002787136,0.0006794806],"genre_scores_gemma":[0.9885627,0.0009380249,0.00714698,0.00003473442,0.00000738111,0.00003369939,0.001178736,0.0000149992,0.002082709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05443444,"threshold_uncertainty_score":0.1082352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791884798550781,"score_gpt":0.286314524318818,"score_spread":0.2483956763333102,"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."}}