{"id":"W3122929946","doi":"10.1029/2020jd033475","title":"Validation of IASI Satellite Ammonia Observations at the Pixel Scale Using In Situ Vertical Profiles","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Troposphere; In situ; Satellite; Remote sensing; Atmospheric sounding; Atmospheric sciences; Data assimilation; Meteorology; Geology; 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":[0.00139039,0.000470402,0.0003051417,0.0004236468,0.0005062309,0.000738432,0.0006984301,0.0004920841,0.0004337826],"category_scores_gemma":[0.001796263,0.0002790302,0.0004327237,0.0005084441,0.0002472175,0.0006571417,0.0004707127,0.0003503407,0.0002636955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360554,"about_ca_system_score_gemma":0.0005848419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04310524,"about_ca_topic_score_gemma":0.05432471,"domain_scores_codex":[0.9992564,0.0001462481,0.00006045209,0.0003020432,0.0001622341,0.00007267858],"domain_scores_gemma":[0.9987603,0.0001752847,0.0001930378,0.0002676336,0.0005650462,0.00003867699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007257736,0.0004416768,0.762536,0.0001815916,0.0005647455,0.0001848727,0.0006538766,0.04693637,0.1518999,0.0003362092,0.002350312,0.03318874],"study_design_scores_gemma":[0.00006860731,0.0002020739,0.7697511,0.00006264682,0.0001650758,0.00007049519,0.0004534401,0.1714471,0.05447228,0.0001897451,0.00307595,0.00004140402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913088,0.00008020148,0.005274776,0.00003085121,0.00004608461,0.00002814569,0.00174297,0.0001596953,0.001328511],"genre_scores_gemma":[0.9915013,0.00003743012,0.005489788,0.00003417594,0.000008468663,0.00003181319,0.002647936,0.00003294557,0.0002160425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04310524,"threshold_uncertainty_score":0.08570868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04443351839382569,"score_gpt":0.3062352179017273,"score_spread":0.2618016995079016,"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."}}