{"id":"W3127024283","doi":"","title":"Nighttime Oxidative Aging of Biomass Burning Brown Carbon","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Biomass (ecology); Carbon fibers; Ecology; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001542548,0.0002188536,0.0001181192,0.0002489907,0.000354276,0.0002850317,0.0001918607,0.0002551774,0.004820865],"category_scores_gemma":[0.0001438293,0.00006747729,0.0001410866,0.0001719186,0.0001468799,0.0002308261,0.0001879414,0.000218069,0.0005294653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003761307,"about_ca_system_score_gemma":0.0002147628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003999224,"about_ca_topic_score_gemma":0.004816683,"domain_scores_codex":[0.9999419,0.000004736297,0.000001870253,0.00001379716,0.00001236711,0.00002517854],"domain_scores_gemma":[0.9999045,0.00001255805,0.00001352583,0.00001143408,0.00003798627,0.00002002683],"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":[0.001186552,0.00007256224,0.00674958,0.00005778015,0.00002006631,0.000128461,0.0001453165,0.0001438328,0.9804893,0.0002417019,0.000471868,0.01029288],"study_design_scores_gemma":[0.00001686347,0.0005244195,0.110151,0.00001125833,0.00002975162,0.0001767041,0.0005019327,0.001500818,0.8823181,0.0002871131,0.004464037,0.00001802812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972493,0.0006055654,0.0003555784,0.00003757649,0.00005972158,0.000004082417,0.0002167014,0.00001615969,0.001455403],"genre_scores_gemma":[0.9929,0.0002473319,0.0002018704,0.00002915979,0.00001351475,0.000002898546,0.0003749592,0.00001379561,0.006216491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004820865,"threshold_uncertainty_score":0.01612735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008024948669621,"score_gpt":0.2243907069178993,"score_spread":0.2043104574312031,"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."}}