{"id":"W4244174370","doi":"10.5194/acpd-13-27779-2013","title":"Emission factor ratios, SOA mass yields, and the impact of vehicular emissions on SOA formation","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; U.S. Department of Energy","keywords":"Gasoline; Aerosol; Diesel fuel; Environmental science; Atmospheric sciences; Environmental chemistry; Meteorology; Chemistry; Geology; Waste management; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001676922,0.0002995663,0.0001242925,0.0002358314,0.0001075132,0.0004413089,0.0001034945,0.000105367,0.001694398],"category_scores_gemma":[0.0004949902,0.00009154688,0.0001905922,0.0001996581,0.000121624,0.0002347976,0.0001449428,0.0001408588,0.0002264847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231693,"about_ca_system_score_gemma":0.0001985867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02327604,"about_ca_topic_score_gemma":0.02695405,"domain_scores_codex":[0.9999239,0.00001272842,0.000003198987,0.00002278867,0.00002426374,0.00001302975],"domain_scores_gemma":[0.9998034,0.0000888056,0.00004029362,0.0000180185,0.00003441533,0.00001515262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000286221,0.0001013217,0.9074162,0.0001126607,0.0002772771,0.0002441235,0.00006939805,0.02760627,0.04698331,0.0007775847,0.001105503,0.0150201],"study_design_scores_gemma":[0.00001478211,0.00007928279,0.9161478,0.000008981472,0.00007847729,0.00007946136,0.0001497709,0.04130519,0.0385614,0.0005640442,0.002994124,0.00001668938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962189,0.000243888,0.0006321071,0.00003619196,0.000004577037,0.000004734797,0.0009632069,0.00004992362,0.00184643],"genre_scores_gemma":[0.9989712,0.00007871493,0.0002353104,0.000004602314,0.000001800402,0.000002134482,0.0003705343,0.000007893853,0.0003278741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327604,"threshold_uncertainty_score":0.0462811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829702923609149,"score_gpt":0.2392566796997406,"score_spread":0.2209596504636491,"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."}}