{"id":"W4387164339","doi":"10.5194/egusphere-2023-649-ac1","title":"Reply on RC2","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; Atmospheric sciences; Air quality index; Greenhouse gas; Meteorology; Biome; SCIAMACHY; Troposphere; Climatology; Remote sensing; Ecosystem; 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":[0.002486312,0.001083188,0.001100662,0.001167172,0.002736271,0.004534993,0.003288494,0.02263337,0.1538825],"category_scores_gemma":[0.02517244,0.000616878,0.001533573,0.0008580601,0.002073341,0.004154636,0.002478778,0.02232742,0.1244101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003313155,"about_ca_system_score_gemma":0.002807697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007423266,"about_ca_topic_score_gemma":0.008338088,"domain_scores_codex":[0.9978141,0.0003937483,0.000219244,0.0004460068,0.0007970025,0.0003300314],"domain_scores_gemma":[0.9938698,0.002026153,0.0002442823,0.0004427774,0.002486267,0.0009306765],"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":[0.000008690553,0.000003137991,0.0000225861,0.00001205999,0.000001346154,0.00004326718,0.000006838906,0.000003999994,0.0000159013,0.0002505683,0.9977144,0.001917174],"study_design_scores_gemma":[0.00001126741,0.000006520579,0.0001460876,0.00005061616,0.000002739122,0.00006295896,0.00004413856,0.00002285633,0.0000589081,0.0004367745,0.9991484,0.000008619979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001982631,0.0021035,0.0002474714,0.7193253,0.2474366,0.0001031765,0.0007005864,0.0004493148,0.02943572],"genre_scores_gemma":[0.00210511,0.001363795,0.0002245218,0.7824579,0.08216836,0.0001656848,0.0002764999,0.0002646403,0.1309736],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1538825,"threshold_uncertainty_score":0.5147884,"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."}}