{"id":"W4319792454","doi":"10.5194/egusphere-2022-1331-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; Environment and Climate Change Canada; The Scarborough Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Jet Propulsion Laboratory; California Institute of Technology; Environment and Climate Change Canada; University of Toronto; Connaught Fund; Canadian Foundation for Climate and Atmospheric Sciences; Ontario Innovation Trust; Government of Canada; National Aeronautics and Space Administration; Nova Scotia Research Innovation Trust","keywords":"Suns in alchemy; Environmental science; Trace gas; Satellite; SCIAMACHY; Atmospheric sciences; Meteorology; Remote sensing; Troposphere; Physics; Geology","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":[0.003334331,0.001045847,0.001181351,0.001164124,0.00351687,0.005312727,0.003542551,0.02839273,0.1813444],"category_scores_gemma":[0.03180386,0.0006605916,0.001581835,0.0009839995,0.002268418,0.00436016,0.002936539,0.02369926,0.1525261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00404322,"about_ca_system_score_gemma":0.00432329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007980388,"about_ca_topic_score_gemma":0.008518722,"domain_scores_codex":[0.9969544,0.0005445686,0.0003076842,0.0006035555,0.001046526,0.0005431355],"domain_scores_gemma":[0.9918442,0.002449575,0.0003108158,0.0006592651,0.003517825,0.001218247],"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":[0.000007355255,0.0000027574,0.00002369908,0.00001244952,0.000001280625,0.0000354358,0.000008064005,0.000002918601,0.0000148544,0.0002945295,0.9978847,0.00171195],"study_design_scores_gemma":[0.0000108628,0.000006698498,0.000157809,0.0000522979,0.00000264365,0.00004913894,0.00005296016,0.00001533068,0.00005377585,0.0005176413,0.9990721,0.00000874455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001997688,0.001693972,0.0002463325,0.7428911,0.2156259,0.0001120997,0.0009231802,0.0004932372,0.03781428],"genre_scores_gemma":[0.002064363,0.0009718222,0.0002130936,0.79958,0.06359707,0.0001923511,0.000355967,0.0002824705,0.1327429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1813444,"threshold_uncertainty_score":0.6066575,"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."}}