{"id":"W2032044263","doi":"10.1175/2007jamc1392.1","title":"Air Quality Forecast Verification Using Satellite Data","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Environmental science; Air quality index; Geostationary orbit; Climatology; Meteorology; Satellite; Daytime; Aerosol; National weather service; Atmospheric sciences; Geostationary Operational Environmental Satellite; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781902,0.0001031301,0.0003537608,0.00001259549,0.0001711465,0.000004781191,0.0002676904,0.0001615963,0.0002352013],"category_scores_gemma":[0.00004483747,0.00008269152,0.0000337375,0.00008483043,0.0003419591,0.0001450143,0.00002678752,0.0002275079,0.00001049905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002437109,"about_ca_system_score_gemma":0.00006594661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002529816,"about_ca_topic_score_gemma":0.00002834466,"domain_scores_codex":[0.9989728,0.00006664253,0.0004618397,0.0001951988,0.00009732934,0.0002061596],"domain_scores_gemma":[0.9989756,0.0002309456,0.000425359,0.0002333102,0.00003774241,0.00009699345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002909062,0.0001214019,0.9178487,0.0001076493,0.0002798665,0.0002786239,0.0008249329,0.001064021,0.01790259,0.002369354,0.0003775862,0.05591622],"study_design_scores_gemma":[0.003064466,0.0004940507,0.9303659,0.00001875463,0.0002733975,0.01726861,0.001339058,0.003955339,0.006904165,0.01129326,0.02439977,0.0006232942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994927,0.00105433,0.0007754889,0.0002166857,0.0001633676,0.00004411179,0.00001817337,0.000007060195,0.002793707],"genre_scores_gemma":[0.9869117,0.0008528257,0.01176366,0.0003159211,0.0001014351,1.394879e-7,0.00004447614,0.000002264778,0.000007619235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05529293,"threshold_uncertainty_score":0.3372062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07887209418490229,"score_gpt":0.2865027599834768,"score_spread":0.2076306657985745,"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."}}