{"id":"W3016657135","doi":"","title":"Constraining ozone dry deposition using ozone and water vapor flux measurements","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ozone; Environmental science; Atmospheric sciences; Flux (metallurgy); Water vapor; Deposition (geology); Meteorology; Chemistry; Geography; Physics; Geology","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":[0.0004089615,0.0001840312,0.0001897423,0.00007144103,0.0001327783,0.00008754542,0.0000748899,0.0001137521,0.00001919034],"category_scores_gemma":[0.00001818241,0.0001610524,0.00003222107,0.00005909507,0.00002506201,0.0002934965,0.00003214537,0.0002203528,0.00009922955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004730703,"about_ca_system_score_gemma":0.00001283287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003611939,"about_ca_topic_score_gemma":0.00005868419,"domain_scores_codex":[0.9988482,0.00001707711,0.0003194562,0.0002080597,0.0002141229,0.0003930971],"domain_scores_gemma":[0.9995877,0.00003588251,0.00004901751,0.0001582401,0.00004533968,0.0001238695],"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":[0.00001323408,0.00002677706,0.120621,0.0002866083,0.00006238322,0.00001917718,0.0007205904,0.117514,0.74942,0.000002054137,0.00004479091,0.01126938],"study_design_scores_gemma":[0.002499738,0.0001502775,0.165355,0.002900898,0.0001291849,0.0002071128,0.0006739789,0.3738361,0.4516217,0.00004542104,0.001128019,0.001452627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844557,0.0002749466,0.0001224895,0.00001688408,0.0003462978,0.000138772,0.000002280241,0.0001761518,0.01446645],"genre_scores_gemma":[0.9947711,0.00002046961,0.0049323,0.00003649726,0.0001071904,0.000003541527,0.00001773277,0.00003789927,0.00007330501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2977984,"threshold_uncertainty_score":0.6567525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738518184856112,"score_gpt":0.2324287067587894,"score_spread":0.2050435249102283,"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."}}