{"id":"W4411376015","doi":"10.1016/j.jqsrt.2025.109567","title":"Evaluating CO2 and CH4 absorption models with open-path dual-comb spectroscopy at the mauna loa observatory","year":2025,"lang":"en","type":"article","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; NASA Earth Science Technology Office; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Observatory; Absorption spectroscopy; Absorption (acoustics); Spectroscopy; Remote sensing; Environmental science; Path (computing); Dual (grammatical number); Physics; Atmospheric sciences; Optics; Astrophysics; Astronomy; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000747135,0.0002785016,0.0004076457,0.00002185349,0.0004614743,0.00009136457,0.0002105563,0.00006964869,0.0002266286],"category_scores_gemma":[0.00001502549,0.0001729448,0.00007166656,0.0002481688,0.000936422,0.0007639573,0.0001265137,0.0003756298,0.00000454058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397727,"about_ca_system_score_gemma":0.00005058094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107146,"about_ca_topic_score_gemma":0.0001073173,"domain_scores_codex":[0.9982626,0.0002347916,0.0004179246,0.000339596,0.0004045637,0.0003405086],"domain_scores_gemma":[0.9993266,0.0001932793,0.0001733347,0.000150455,0.00002124245,0.000135024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00716275,0.0007814916,0.1513987,0.0001198098,0.001013845,0.00008766029,0.01961159,0.2878523,0.474427,0.05363244,0.001189313,0.002723108],"study_design_scores_gemma":[0.01146981,0.01021222,0.6966613,0.0005539841,0.0009907475,0.0002027803,0.01125914,0.1838887,0.04052158,0.04091067,0.002034094,0.00129494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837851,0.001278103,0.1111274,0.0009373903,0.00007519667,0.0004208574,0.000009699591,0.000006499246,0.002359721],"genre_scores_gemma":[0.9258304,0.002840239,0.06996301,0.0006278654,0.00002605348,0.0000150664,0.000003883433,0.00002651694,0.0006669293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5452626,"threshold_uncertainty_score":0.7052485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327725426629803,"score_gpt":0.3150705552071251,"score_spread":0.2817933009408271,"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."}}