{"id":"W2049676315","doi":"10.1021/es505298d","title":"Chemical and Toxicological Evolution of Carbon Nanotubes During Atmospherically Relevant Aging Processes","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Toronto; Environment and Climate Change Canada","funders":"Chinese Academy of Sciences; Government of Canada","keywords":"Carbon nanotube; Ozone; Surface modification; Environmental chemistry; Adsorption; Chemistry; Carbon fibers; Redox; Particulates; Atmosphere (unit); Chemical engineering; Organic chemistry; Materials science; Nanotechnology","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":[0.0001911387,0.0001908647,0.0001096388,0.0001714775,0.000163319,0.0001493066,0.0001061132,0.0003048379,0.0003863733],"category_scores_gemma":[0.0002488244,0.00007766679,0.0001649959,0.0001170476,0.0001561207,0.0001931185,0.00008948475,0.0001525519,0.00009363905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651413,"about_ca_system_score_gemma":0.0001280855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008140954,"about_ca_topic_score_gemma":0.0009659667,"domain_scores_codex":[0.9998789,0.00002258178,0.000007341592,0.00002696784,0.00004377684,0.00002046278],"domain_scores_gemma":[0.9998901,0.0000250534,0.0000291145,0.000008983659,0.00003903917,0.000007673249],"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":[0.00007274128,0.00001580791,0.002333119,0.00003793267,0.000007746064,0.00007667741,0.0000431417,0.0002923628,0.9944026,0.0000960816,0.00002270598,0.002599146],"study_design_scores_gemma":[0.00000296334,0.0005829274,0.02886866,0.00001036687,0.00002743653,0.0002079274,0.0001014297,0.001551722,0.9666332,0.0001876723,0.001815761,0.000009917237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971824,0.0008525521,0.001131754,0.00002201448,0.00001199983,0.00001327486,0.0001162886,0.000007707637,0.0006620546],"genre_scores_gemma":[0.997393,0.0006979668,0.0009518337,0.00002410833,0.000006813986,0.00001388249,0.0001345145,0.000004670842,0.0007732484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008140954,"threshold_uncertainty_score":0.001618683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853733357026911,"score_gpt":0.2115931463039711,"score_spread":0.2037394129469442,"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."}}