{"id":"W4387977106","doi":"10.5194/egusphere-2023-1161-ac1","title":"Reply on RC1","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eurostars; Canadian Space Agency; Environment and Climate Change Canada; Ministry of Environment; Ministry of Land, Infrastructure, Transport and Tourism; Centre National d’Etudes Spatiales; Government of Canada; Grand Équipement National De Calcul Intensif; Environmental Restoration and Conservation Agency; Nova Scotia Research Innovation Trust; Ontario Innovation Trust","keywords":"Trace gas; Troposphere; Atmospheric sciences; Environmental science; Arctic; Climatology; Atmospheric chemistry; Ozone; Atmospheric composition; Tropospheric ozone; Meteorology; Atmosphere (unit); Geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003018563,0.0009932696,0.001045611,0.001092122,0.003019216,0.004921632,0.003206312,0.02281877,0.2053733],"category_scores_gemma":[0.0288532,0.0006196806,0.001525386,0.0009456176,0.002263121,0.00414191,0.002898298,0.02167061,0.1667354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003532721,"about_ca_system_score_gemma":0.003943069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007807052,"about_ca_topic_score_gemma":0.008570319,"domain_scores_codex":[0.9969625,0.0005367461,0.0002924562,0.0006071765,0.001113684,0.0004873148],"domain_scores_gemma":[0.9919321,0.002039761,0.0002726657,0.0006567925,0.00385775,0.001241007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007098214,0.000002907289,0.00002402759,0.00001309633,0.000001168214,0.00003025256,0.000007592074,0.000003347013,0.00001556569,0.0002639698,0.997548,0.002082981],"study_design_scores_gemma":[0.000007151803,0.000005932254,0.0001443873,0.00004815749,0.000002015751,0.00003858276,0.0000462058,0.00001311166,0.00004679426,0.0003706998,0.9992703,0.000006639832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001983118,0.001822128,0.0002693231,0.7039027,0.2473864,0.0001206536,0.0007345312,0.000476854,0.04508898],"genre_scores_gemma":[0.002042622,0.001057146,0.0002615505,0.7518937,0.06503863,0.0001769727,0.0003007953,0.0002927959,0.1789358],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2053733,"threshold_uncertainty_score":0.6870422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819515760592318,"score_gpt":0.2535720802054497,"score_spread":0.2353769225995266,"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."}}