{"id":"W4246460984","doi":"10.5194/amt-2020-281","title":"Methane retrieved from TROPOMI: improvement of the data product and validation of the first two years of measurements","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"SCIAMACHY; HITRAN; Environmental science; Remote sensing; Satellite; Albedo (alchemy); Troposphere; Inversion (geology); Meteorology; Spectroscopy; Geology; Geography; Physics","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":[0.002091867,0.0008769613,0.0005856954,0.001027796,0.0005512909,0.0008001876,0.0009684935,0.0007087806,0.001484679],"category_scores_gemma":[0.002615799,0.0002707235,0.0007893956,0.001596674,0.0002626347,0.001425441,0.0008097532,0.0006797283,0.0008365602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007043194,"about_ca_system_score_gemma":0.001173889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03620339,"about_ca_topic_score_gemma":0.04659639,"domain_scores_codex":[0.9991766,0.00009955846,0.00007094579,0.0002161966,0.0003427557,0.00009386634],"domain_scores_gemma":[0.9987318,0.0001246398,0.0001146051,0.0003259317,0.0006403074,0.00006267946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004035796,0.001994546,0.4368246,0.001469502,0.00114414,0.001324575,0.000966986,0.100249,0.2324207,0.001519582,0.01816696,0.1998835],"study_design_scores_gemma":[0.0005079065,0.0007855837,0.6450434,0.0001692275,0.0004682491,0.0004796906,0.0005026985,0.1487507,0.1710063,0.0003369332,0.03170628,0.0002430649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509399,0.0006630641,0.01024019,0.000200925,0.0001714565,0.0001386507,0.03238178,0.001469741,0.003794288],"genre_scores_gemma":[0.8944128,0.0002922027,0.02782656,0.0001071896,0.00004444229,0.0001770125,0.07558437,0.0003923109,0.001163182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03620339,"threshold_uncertainty_score":0.0719853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341558799565579,"score_gpt":0.2407272241883607,"score_spread":0.1973116361927049,"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."}}