{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001343793,0.0001327897,0.0001617138,0.00004922448,0.0000564318,0.00002127865,0.0001310475,0.00006270366,0.000003899871],"category_scores_gemma":[0.0001101083,0.000140316,0.00004295077,0.0002458006,0.00003929471,0.00006773233,0.00002858663,0.0001933568,0.00004388339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036855,"about_ca_system_score_gemma":0.00001097499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005289459,"about_ca_topic_score_gemma":0.00004193037,"domain_scores_codex":[0.999149,0.00001523974,0.000303572,0.000202307,0.0001335281,0.0001963994],"domain_scores_gemma":[0.9995477,0.00005348639,0.0000918536,0.0001486348,0.00005532359,0.0001029939],"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":[0.000007330314,0.00003858592,0.006092272,0.0003660688,0.0001239784,0.000007745715,0.003942905,0.06055778,0.9235098,0.000129123,0.001922822,0.003301566],"study_design_scores_gemma":[0.00046529,0.00004824089,0.01664445,0.0002040024,0.000058186,0.000008238725,0.0009252391,0.03087113,0.9327349,0.0001041385,0.01736112,0.0005750538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617961,0.0003144156,0.00009558088,0.00107709,0.0001092854,0.0001088778,0.000005288254,0.0004148306,0.03607855],"genre_scores_gemma":[0.9979368,0.00002195373,0.001713913,0.00006000392,0.0001838255,0.000008883931,0.000009758634,0.00002533966,0.00003945043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03614079,"threshold_uncertainty_score":0.572192,"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."}}