{"id":"W4283740240","doi":"10.5194/acp-2022-251-rc2","title":"Comment on acp-2022-251","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"NOx; Environmental science; Emission inventory; Christian ministry; Atmospheric sciences; Satellite; Nitrogen dioxide; Meteorology; In situ; Climatology; Chemistry; Air quality index; Geography; Combustion; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009541537,0.0002891674,0.0003811852,0.00002878161,0.0002940967,0.00002348858,0.0005507251,0.0001025444,0.1334401],"category_scores_gemma":[0.0001023357,0.0002494564,0.0001764095,0.0001955796,0.00006735559,0.0000363584,0.0008899394,0.0007620216,0.002606018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006812937,"about_ca_system_score_gemma":0.00001351144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091086,"about_ca_topic_score_gemma":0.0000219389,"domain_scores_codex":[0.9975396,0.0001672698,0.000350835,0.0005316647,0.001058045,0.0003525388],"domain_scores_gemma":[0.998951,0.0001503531,0.0001775516,0.0005965685,0.000004695307,0.0001197926],"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":[0.0000021695,0.00006734816,0.0000639249,0.0001867862,0.00001133327,0.000007073281,0.00003585429,0.00004789298,0.000001021648,0.00005604406,0.9636492,0.03587138],"study_design_scores_gemma":[0.0000684366,0.0001241924,0.00004548885,0.0004152113,0.00003271678,0.000003276763,0.00003139832,0.00003834978,0.0000123371,0.00005913826,0.9988672,0.0003022211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004356248,0.002673672,0.00006587349,0.3666537,0.006618402,0.0006241244,0.000192018,0.0002106208,0.6229181],"genre_scores_gemma":[0.00008711743,0.001833236,0.0004833194,0.0696274,0.0005068158,0.0001577761,0.0005437871,0.00005310765,0.9267074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3037894,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651018970351626,"score_gpt":0.322165467096123,"score_spread":0.2556552773926068,"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."}}