{"id":"W2756034218","doi":"10.2151/sola.2017-031","title":"Validation of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> Retrieved by PPDF-S Method and Comparison with Full Physics Method","year":2017,"lang":"en","type":"article","venue":"SOLA","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Oak Ridge National Laboratory; Japan Society for the Promotion of Science; Jet Propulsion Laboratory; University of Tokyo","keywords":"Aerosol; Standard deviation; Methane; Satellite; Environmental science; Greenhouse gas; Remote sensing; Carbon fibers; Atmospheric sciences; Physics; Meteorology; Computational physics; Chemistry; Mathematics; Geology; Statistics; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001467178,0.0008878852,0.001181362,0.00002391211,0.0009015014,0.0002614648,0.0008404225,0.000482494,0.0001340493],"category_scores_gemma":[0.0001235334,0.0008176786,0.0002004018,0.0003578496,0.001300696,0.001070366,0.001025858,0.0005668784,0.0000891176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129595,"about_ca_system_score_gemma":0.00004072271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000194307,"about_ca_topic_score_gemma":0.0001898708,"domain_scores_codex":[0.9949536,0.000459259,0.0009051114,0.001483747,0.001206466,0.0009918029],"domain_scores_gemma":[0.9965377,0.0003111939,0.001161728,0.001426974,0.00003718489,0.0005252384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00049727,0.0004907485,0.04977869,0.0001188969,0.0002056622,0.00001754252,0.001578581,0.00789622,0.8688421,0.000234562,0.002229181,0.06811057],"study_design_scores_gemma":[0.007359412,0.002414457,0.2226758,0.0003174146,0.001168245,0.0001531839,0.0007811849,0.1800697,0.5595516,0.004193867,0.01758047,0.003734735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705066,0.0004939211,0.2253954,0.0002291371,0.0002074107,0.0007297714,0.00007172479,0.00009124892,0.00227474],"genre_scores_gemma":[0.8853647,0.001000688,0.1124496,0.000157106,0.0001300867,0.00004919798,0.00009815207,0.0001433481,0.0006072296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3092905,"threshold_uncertainty_score":0.9994274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179066846497081,"score_gpt":0.2536108801489558,"score_spread":0.241820211683985,"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."}}