{"id":"W4308471078","doi":"10.5194/acp-2022-474-rc2","title":"Comment on acp-2022-474","year":2022,"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; University of Toronto; University of Waterloo","funders":"Canadian Space Agency","keywords":"Megacity; Environmental science; Atmospheric sciences; Carbon dioxide; Emission inventory; Troposphere; Greenhouse gas; Observatory; Population; Nitrogen dioxide; Meteorology; Climatology; Geography; Air quality index; Chemistry; Geology; Oceanography; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003437577,0.001146455,0.001089292,0.001657267,0.004454717,0.005055092,0.003438774,0.03778205,0.07714575],"category_scores_gemma":[0.02999738,0.0006359108,0.001465257,0.001955958,0.002298297,0.003587166,0.001631248,0.0187731,0.08014925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004316671,"about_ca_system_score_gemma":0.007848151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04797123,"about_ca_topic_score_gemma":0.05016376,"domain_scores_codex":[0.9958831,0.0002725594,0.0003729865,0.000440607,0.002427633,0.0006030444],"domain_scores_gemma":[0.9869121,0.002757221,0.0004277021,0.0009224142,0.007657048,0.001323453],"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":[0.00001369569,0.000009034256,0.00006787417,0.00002858982,0.000001469159,0.0001176902,0.00001234537,0.000014017,0.00004814515,0.0005242183,0.9970363,0.002126543],"study_design_scores_gemma":[0.00001196138,0.000006601796,0.0004801718,0.00004659943,0.000002566532,0.00003804673,0.00003153168,0.00004068314,0.00007614351,0.0003803875,0.9988758,0.000009443649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006936212,0.002094912,0.0005025968,0.5977409,0.2692399,0.0004869812,0.002547266,0.001145115,0.1255488],"genre_scores_gemma":[0.00512605,0.00178099,0.0006976972,0.5688189,0.0786018,0.0006356526,0.001183465,0.0005541157,0.3426014],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07714575,"threshold_uncertainty_score":0.2580783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137701587402461,"score_gpt":0.2426936982615773,"score_spread":0.2289235395213312,"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."}}