{"id":"W3199064537","doi":"","title":"Distribution and variability of NH 3 in Mexico City from ground-based FTIR and space-based IASI measurements","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Atmospheric sciences; Aerosol; Satellite; Ground level; Meteorology; Climatology; Geography; Ground floor; Physics; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001352122,0.0001567925,0.0002198951,0.00001310666,0.00009729269,0.00003234618,0.0001035199,0.00009879735,0.000006879459],"category_scores_gemma":[0.0014487,0.0001602394,0.00003148673,0.0001486979,0.000206432,0.0001180693,0.00007862407,0.0001955211,0.000004542071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307638,"about_ca_system_score_gemma":0.00001917552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741823,"about_ca_topic_score_gemma":0.0009249712,"domain_scores_codex":[0.9984034,0.000175897,0.0003864958,0.0004221151,0.0003710637,0.0002410788],"domain_scores_gemma":[0.9990523,0.0003955607,0.0002157883,0.0001509853,0.00001572587,0.0001695855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005375391,0.00008332882,0.983944,0.00004412806,0.000005230941,0.00000279869,0.0003381557,0.006323823,0.007820492,0.000001994182,0.00001526125,0.001367026],"study_design_scores_gemma":[0.0006058063,0.00006682415,0.9766544,0.0001229892,0.00001664739,2.339634e-7,0.00007480128,0.0077395,0.01433395,0.0001734274,0.00005470361,0.0001567803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980101,0.00002080309,0.0004137277,0.0007181359,0.00005397977,0.0001510478,0.0000387927,0.00004079391,0.0005526387],"genre_scores_gemma":[0.9970592,0.000001466928,0.002763504,0.00008973137,0.00003722884,0.000004937882,0.00003344942,0.00000915488,0.000001277499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01649326,"threshold_uncertainty_score":0.9891249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254318313904249,"score_gpt":0.2510549857685462,"score_spread":0.1985118026295037,"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."}}