{"id":"W4378390956","doi":"10.5194/amt-2022-336-rc2","title":"Comment on amt-2022-336","year":2023,"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":"Environment and Climate Change Canada","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Ammonia; Environmental science; Smoothing; Atmospheric sciences; Spatial variability; Satellite; Meteorology; Remote sensing; Computer science; Chemistry; Geography; Geology; Statistics; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008682771,0.0002908697,0.0003887745,0.00003306521,0.0001578932,0.00002738364,0.0004255544,0.00016323,0.009175272],"category_scores_gemma":[0.0001601901,0.0002373647,0.000165792,0.0002495248,0.00007787888,0.00003191678,0.0004905279,0.0005112001,0.01943395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490562,"about_ca_system_score_gemma":0.000009512418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335481,"about_ca_topic_score_gemma":0.00006971056,"domain_scores_codex":[0.9978176,0.00009428965,0.0003574252,0.0005132794,0.0008361206,0.0003812953],"domain_scores_gemma":[0.9989662,0.0002000006,0.0001486645,0.0005475671,0.000006889834,0.0001307045],"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":[0.00000124695,0.000032194,0.00007292084,0.0002779822,0.00001168985,0.000007500619,0.00002473074,0.0000244757,9.902575e-7,0.00004121571,0.9670762,0.03242887],"study_design_scores_gemma":[0.00005807172,0.00007253303,0.0001426,0.001567541,0.00002992609,0.000001293959,0.00001751905,0.00006183972,0.00001895879,0.0001054687,0.9976373,0.0002869705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00006230631,0.001437011,0.0001321901,0.5397349,0.01055873,0.0007730342,0.0001886934,0.0006754721,0.4464377],"genre_scores_gemma":[0.00004722943,0.002165356,0.0003581118,0.03189659,0.0006945913,0.00007334292,0.0003283148,0.00006479835,0.9643717],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.517934,"threshold_uncertainty_score":0.9917305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08893042076258943,"score_gpt":0.3368802397102171,"score_spread":0.2479498189476277,"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."}}