{"id":"W4408436878","doi":"10.5194/egusphere-egu25-7049","title":"Modelling Arctic springtime ozone depletion events: role of snow sourced bromine chemistry and its impact on Arctic tropospheric ozone budget","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ozone depletion; Snow; Ozone; Bromine; Tropospheric ozone; Arctic; Atmospheric sciences; Environmental science; The arctic; Climatology; Troposphere; Meteorology; Oceanography; Chemistry; Geology; Geography","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":[0.0003035039,0.0008048218,0.0005265062,0.0003755678,0.0004168679,0.00078684,0.000699024,0.0009759152,0.0005829392],"category_scores_gemma":[0.0005000689,0.0003673409,0.0008558774,0.0003830786,0.0002356662,0.0004888533,0.0003873482,0.0004603535,0.00007227109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356216,"about_ca_system_score_gemma":0.0014615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621839,"about_ca_topic_score_gemma":0.09171747,"domain_scores_codex":[0.9998945,0.00002598989,0.000007324706,0.0000259674,0.00001667381,0.00002961477],"domain_scores_gemma":[0.9998071,0.00008051952,0.00002662565,0.00001228039,0.00004180578,0.0000318092],"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":[0.000116556,0.00008707974,0.01915376,0.00003826165,0.00008266691,0.00007647051,0.00003447401,0.9736096,0.004326266,0.0002340486,0.0001204927,0.002120252],"study_design_scores_gemma":[0.00003057853,0.00005039504,0.007011895,0.000003990674,0.00003490929,0.000006670475,0.00002937095,0.9912955,0.001258441,0.00006717823,0.0002022962,0.000008912881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956722,0.0001521155,0.0020688,0.00005692185,0.0000165452,0.00001740277,0.0006395402,0.00007455178,0.001301986],"genre_scores_gemma":[0.9971916,0.0001209453,0.001707297,0.00001764179,0.00000701495,0.00001302441,0.0005026896,0.00001345588,0.0004263007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621839,"threshold_uncertainty_score":0.3224797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872395776317034,"score_gpt":0.2254456147135816,"score_spread":0.2167216569504112,"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."}}