{"id":"W7126297626","doi":"","title":"Long-term trends worldwide in ambient NO2 concentrations inferred from satellite observations","year":2016,"lang":"en","type":"article","venue":"OpenBU (Boston University)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; Nitrogen dioxide; Troposphere; Particulates; Air pollution; Chemical transport model; Pollution; East Asia","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001274856,0.0001269561,0.0001549214,0.0001311789,0.0001989747,0.00002859923,0.0003081324,0.00008025182,0.003914983],"category_scores_gemma":[0.00003367505,0.0001150635,0.00004601819,0.0007320033,0.0001820131,0.0008607727,0.0001725182,0.0001042183,0.0004769369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006461901,"about_ca_system_score_gemma":0.00004591985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451573,"about_ca_topic_score_gemma":0.02473411,"domain_scores_codex":[0.9988127,0.0001210228,0.0002041035,0.0003177102,0.0001954499,0.0003490504],"domain_scores_gemma":[0.9992206,0.0001302246,0.00009702627,0.0002955597,0.0000102832,0.0002463309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006343306,0.000134625,0.9486509,0.000002634958,0.000008743832,0.0000481958,0.000875917,0.00007086087,0.002117015,0.002021877,0.001165242,0.04484059],"study_design_scores_gemma":[0.000836813,0.00003520457,0.880409,0.00004225309,0.00001098597,3.520951e-7,0.00008890604,0.0000421876,0.0004309776,0.00009531907,0.1178537,0.0001542769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530793,0.00002289625,0.001284788,0.01017412,0.0001263717,0.000209359,0.00008637239,0.0000452538,0.03497154],"genre_scores_gemma":[0.9753489,0.000233589,0.0006526251,0.001193078,0.00002151002,0.000001290258,0.00006163657,0.000009209485,0.02247816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166885,"threshold_uncertainty_score":0.9969956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816761254748523,"score_gpt":0.2708887931270575,"score_spread":0.2127211805795723,"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."}}