{"id":"W4366829682","doi":"10.3390/atmos14040758","title":"Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Inversion (geology); Data assimilation; Covariance; Kalman filter; Environmental science; Methane; Parametric statistics; Spectral space; Computer science; Statistics; Meteorology; Algorithm; Mathematics; Geology; Chemistry","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":[0.001518781,0.0006058979,0.0004012572,0.0002868579,0.0003851589,0.0004964477,0.0007295773,0.0007863719,0.0005098607],"category_scores_gemma":[0.003021778,0.0002345042,0.0006265142,0.0003503486,0.0005290033,0.0006359463,0.0008260848,0.001153238,0.000082272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647236,"about_ca_system_score_gemma":0.0007569011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719658,"about_ca_topic_score_gemma":0.01926696,"domain_scores_codex":[0.9996184,0.000145226,0.00002425489,0.00008174316,0.00007653237,0.00005373521],"domain_scores_gemma":[0.9988212,0.0005986303,0.0001142931,0.0001973566,0.0001860144,0.00008245953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006844241,0.000734752,0.02737457,0.00008693703,0.000199102,0.0001888297,0.0001566763,0.9411924,0.01273541,0.002245176,0.0009275168,0.01347422],"study_design_scores_gemma":[0.0001983456,0.0002797031,0.007424538,0.00000653738,0.00002741178,0.00002274511,0.00004332223,0.9848326,0.006082349,0.0005665122,0.0004820213,0.00003386976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860659,0.0000605841,0.01140286,0.0002204811,0.00003704975,0.00005328005,0.0004843367,0.0003315381,0.001344046],"genre_scores_gemma":[0.9844341,0.00001876612,0.01463346,0.00004573426,0.000009036375,0.0000418098,0.0005812609,0.00003697814,0.0001989649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719658,"threshold_uncertainty_score":0.03419292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074000360707998,"score_gpt":0.2294024782640851,"score_spread":0.2086624746570051,"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."}}