{"id":"W4253509110","doi":"10.5194/gmd-2021-41","title":"Extension of a gaseous dry deposition algorithm to oxidized volatile organic compounds and hydrogen cyanide for application in chemistry transport models","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Daytime; Chemistry; Deposition (geology); Flux (metallurgy); Environmental chemistry; Hydrogen cyanide; Air quality index; Pollutant; Atmospheric sciences; Meteorology; Inorganic chemistry; Organic chemistry","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":[0.0006985496,0.0009492167,0.0009519422,0.0005384955,0.000661916,0.0009016976,0.002054175,0.001206601,0.002831479],"category_scores_gemma":[0.001434725,0.0005752712,0.0009711884,0.0007044513,0.000328765,0.0009221099,0.0009772698,0.001094567,0.0006023613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831308,"about_ca_system_score_gemma":0.001316245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600535,"about_ca_topic_score_gemma":0.01254517,"domain_scores_codex":[0.9998635,0.00002869553,0.00001347725,0.00003782955,0.00003661694,0.00001985643],"domain_scores_gemma":[0.9995149,0.0002171316,0.00004710979,0.00005369532,0.0001339809,0.00003328376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000993834,0.00009072499,0.002511925,0.00008106866,0.0001078194,0.0001220716,0.00004135901,0.9538597,0.004418955,0.00338447,0.001249153,0.03403332],"study_design_scores_gemma":[0.00000965487,0.000003983188,0.00004959336,0.000001449572,0.000002263325,0.000003263036,0.000001907964,0.9991269,0.0002500661,0.0003045115,0.0002447357,0.00000178684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08209785,0.0003407922,0.9080063,0.0001971373,0.0001355365,0.0001990599,0.0005281229,0.005250683,0.003244496],"genre_scores_gemma":[0.4199003,0.0002608779,0.5752806,0.0001447447,0.00007505427,0.000296437,0.001156417,0.0006028647,0.00228272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600535,"threshold_uncertainty_score":0.03182441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036167412844583,"score_gpt":0.2065923069963222,"score_spread":0.1962306328678764,"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."}}