{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002729,0.0007976856,0.0003983695,0.0004039139,0.0006432873,0.001026612,0.00114892,0.001422911,0.0008042384],"category_scores_gemma":[0.002876069,0.0003998766,0.0005937486,0.0003847503,0.000497852,0.001549907,0.0006184826,0.0006621558,0.0001437798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761761,"about_ca_system_score_gemma":0.001116846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05330494,"about_ca_topic_score_gemma":0.04640939,"domain_scores_codex":[0.9997272,0.00007243521,0.00001047367,0.00008403746,0.00005633013,0.00004946233],"domain_scores_gemma":[0.9984723,0.001044011,0.00006982527,0.00009021114,0.0001784749,0.0001452106],"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":[0.0005072868,0.0003916305,0.02845807,0.00005424554,0.0001187108,0.0001257828,0.0001164355,0.9444808,0.01486223,0.0005672472,0.0004229684,0.00989457],"study_design_scores_gemma":[0.00003995545,0.00004642434,0.004505489,0.000001845773,0.00001390054,0.000005463281,0.00003479915,0.9931375,0.001985847,0.0001493093,0.00006814162,0.00001137747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953993,0.0000615231,0.003343904,0.0001144182,0.0000124593,0.00001200921,0.0001602645,0.0002006675,0.0006954764],"genre_scores_gemma":[0.9979747,0.00001343013,0.001713819,0.00001462433,0.000003777111,0.000005918566,0.0001402003,0.00002438943,0.0001091494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05330494,"threshold_uncertainty_score":0.1059893,"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."}}