{"id":"W4281655624","doi":"10.1093/mnras/stac1412","title":"A 1.46–2.48 μm spectroscopic atlas of a T6 dwarf (1060 K) atmosphere with IGRINS: first detections of H2S and H2, and verification of H2O, CH4, and NH3 line lists","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Ministerio de Ciencia, Tecnología e Innovación Productiva; University of Texas at Austin; Heising-Simons Foundation; National Research Council Sri Lanka; University of California; Ministério da Ciência, Tecnologia, Inovações e Comunicações; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Brown dwarf; Exoplanet; Astrophysics; Atmosphere (unit); Line (geometry); Spectral line; Lambda; HITRAN; Equivalent width; Astronomy; Stars; Emission spectrum; Meteorology","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":[0.0002160172,0.0002359814,0.0001596936,0.0005026897,0.000449508,0.0003165715,0.0003108478,0.0002322526,0.001341302],"category_scores_gemma":[0.0001823539,0.0001384136,0.0002300042,0.0003582366,0.0001837297,0.0001917587,0.0003802468,0.0002715075,0.000620989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004094919,"about_ca_system_score_gemma":0.0001193215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316578,"about_ca_topic_score_gemma":0.01171558,"domain_scores_codex":[0.9999127,0.000005711482,0.000003183588,0.00002879166,0.0000323868,0.00001715974],"domain_scores_gemma":[0.9998018,0.00000988088,0.00004801449,0.00004101221,0.0000389114,0.00006042305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009846804,0.0002591262,0.6052904,0.0001040556,0.0001097276,0.0008393383,0.000643597,0.002718987,0.3400998,0.0006044576,0.008891626,0.03945432],"study_design_scores_gemma":[0.00002041714,0.00008752036,0.973857,0.000007714954,0.00002830492,0.0003218732,0.00009886892,0.003885729,0.01514079,0.0001397081,0.006401747,0.00001031155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890698,0.0000936135,0.001089741,0.00009165928,0.0000175207,0.00001244289,0.003443878,0.000568442,0.005612799],"genre_scores_gemma":[0.9915347,0.00004394163,0.003227599,0.00006860479,0.00003315812,0.000007574666,0.004190157,0.00006406519,0.0008302579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005316578,"threshold_uncertainty_score":0.0105713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004956621544198081,"score_gpt":0.1964950321159006,"score_spread":0.1915384105717025,"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."}}