{"id":"W2784180476","doi":"10.1021/acs.estlett.7b00533","title":"Photochemical Production of Singlet Oxygen by Urban Road Dust","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Employment and Social Development Canada; Health Canada; Ministero dello Sviluppo Economico","keywords":"Singlet oxygen; Photochemistry; Environmental chemistry; Particulates; Absorbance; Particle (ecology); Chemistry; Environmental science; Road dust; Ultraviolet; Pollutant; Aqueous solution; Dissolved organic carbon; Total organic carbon; Oxygen; Materials science; Organic chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008262588,0.0002090174,0.0001261088,0.0002442188,0.0001506488,0.0002394249,0.0001382599,0.00027985,0.0005274055],"category_scores_gemma":[0.0001208409,0.00009597201,0.0001316318,0.0001494474,0.000179673,0.0001601332,0.000149515,0.0001699484,0.0001266726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225197,"about_ca_system_score_gemma":0.00008199099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009539988,"about_ca_topic_score_gemma":0.001121192,"domain_scores_codex":[0.9998944,0.00001846604,0.000003364418,0.00003257221,0.00002911807,0.00002213604],"domain_scores_gemma":[0.9999268,0.00001732423,0.00002710998,0.000006714736,0.00001447267,0.00000772764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008884271,0.00003863532,0.00908942,0.00006343582,0.00002414273,0.00007568996,0.00006561699,0.0004113942,0.9871362,0.00009674727,0.00005998833,0.002849837],"study_design_scores_gemma":[0.00001090402,0.0003277503,0.07247389,0.000005131022,0.00003087392,0.0001226981,0.0001788826,0.003275693,0.9222502,0.0002276625,0.001085971,0.00001037077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979479,0.0003392388,0.001189393,0.0000164475,0.000005160522,0.000006677727,0.00006226022,0.00001469801,0.0004182264],"genre_scores_gemma":[0.9992976,0.0001352557,0.000275403,0.000008165379,0.000003974709,0.000004509384,0.00006996169,0.000001824258,0.0002032958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009539988,"threshold_uncertainty_score":0.001896858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003850962775179076,"score_gpt":0.1730154003973096,"score_spread":0.1691644376221305,"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."}}