{"id":"W4387164181","doi":"10.5194/egusphere-2023-649-ac2","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":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Satellite; Emission inventory; SCIAMACHY; Atmospheric sciences; Air quality index; Meteorology; Greenhouse gas; Troposphere; Climatology; 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":[0.002953256,0.001111036,0.001222916,0.001278772,0.002971667,0.004745738,0.003674476,0.02641402,0.1512892],"category_scores_gemma":[0.03088043,0.0006945404,0.001654096,0.0009693164,0.002301148,0.004483233,0.002651465,0.0248112,0.125406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003798804,"about_ca_system_score_gemma":0.003329518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008098923,"about_ca_topic_score_gemma":0.008794783,"domain_scores_codex":[0.9973919,0.0004844537,0.0002772139,0.0005213557,0.000922968,0.0004019769],"domain_scores_gemma":[0.9920303,0.002680663,0.0003189791,0.0005370822,0.003310479,0.001122591],"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":[0.000007509087,0.000002807388,0.00002172018,0.00001275828,0.000001251966,0.00003862691,0.000007234232,0.000003424798,0.00001347058,0.0002335797,0.9978992,0.001758377],"study_design_scores_gemma":[0.00001190477,0.00000733801,0.0001643672,0.00006483893,0.000003012208,0.00006885154,0.0000504711,0.00002137648,0.00005644587,0.0004696958,0.9990717,0.000009991129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001666201,0.002081343,0.0002095514,0.7695012,0.2019425,0.00009414161,0.0006351176,0.0003865885,0.02498297],"genre_scores_gemma":[0.001802252,0.001309533,0.0001993091,0.8261673,0.06969701,0.0001565898,0.0002577061,0.0002130499,0.1001973],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1512892,"threshold_uncertainty_score":0.5061129,"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."}}