{"id":"W4403263251","doi":"10.5194/egusphere-2024-3038","title":"Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Directorate for Biological Sciences; Israel Science Foundation","keywords":"Deposition (geology); Flux (metallurgy); Water stress; Ozone; Stress (linguistics); Environmental science; Atmospheric sciences; Chemistry; Environmental chemistry; Botany; Biology; Physics; Geology; Geomorphology","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":[0.001007959,0.0008579228,0.0008876455,0.0004099548,0.0005699639,0.0009235241,0.001420483,0.001382922,0.001079566],"category_scores_gemma":[0.0008782629,0.0004966768,0.001325128,0.0004801249,0.0003320739,0.0008789381,0.0004440564,0.0008124359,0.0001544877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381257,"about_ca_system_score_gemma":0.0008799931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06278516,"about_ca_topic_score_gemma":0.0317294,"domain_scores_codex":[0.9998114,0.00005654916,0.00001752709,0.00006511431,0.00002244773,0.00002704539],"domain_scores_gemma":[0.9994439,0.0002618054,0.00005878812,0.00007814223,0.0001039023,0.00005348239],"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":[0.0005051038,0.0003572243,0.06130218,0.0001028054,0.0003448088,0.0001116901,0.00009281952,0.9199749,0.01060505,0.0003416663,0.0006024166,0.005659334],"study_design_scores_gemma":[0.00009693656,0.0001031893,0.01641892,0.000005462177,0.00005135772,0.00001080254,0.00003652298,0.9805212,0.002442555,0.00008628585,0.0002051963,0.00002165188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952351,0.00008289457,0.002364198,0.00009625765,0.0000265663,0.00002686708,0.0009771598,0.0002521692,0.0009387361],"genre_scores_gemma":[0.9980388,0.00002743614,0.001225093,0.00001976751,0.000005446168,0.0000210679,0.0004792948,0.00002775182,0.0001552207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06278516,"threshold_uncertainty_score":0.1248394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046629811118177,"score_gpt":0.2391428127409078,"score_spread":0.2086765146297261,"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."}}