{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061478,0.0001495147,0.0003162956,0.000006160892,0.000200953,0.00001145927,0.0002148041,0.0000690419,0.0001386099],"category_scores_gemma":[0.00002171887,0.0001238536,0.000112489,0.00011504,0.0004472468,0.0000474822,0.0002256013,0.0002286017,1.641605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510468,"about_ca_system_score_gemma":0.00004550186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281058,"about_ca_topic_score_gemma":0.0001867272,"domain_scores_codex":[0.9990295,0.00002334287,0.0003551373,0.0002747509,0.0001599547,0.000157382],"domain_scores_gemma":[0.9990252,0.0001206318,0.0004023948,0.0003379752,0.00005246712,0.00006128717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001071868,0.001725503,0.5697145,0.001824632,0.001004521,2.236367e-7,0.005138895,0.3475606,0.0695231,0.0006161524,0.0007135993,0.001106331],"study_design_scores_gemma":[0.00292536,0.0006989182,0.4609184,0.0001845884,0.000647609,4.399204e-7,0.004449781,0.2599201,0.2679772,0.00009182484,0.001800267,0.000385484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985623,0.0004844037,0.00005517222,0.0002559911,0.00002138032,0.0001839725,0.0001783513,0.00001343102,0.000245039],"genre_scores_gemma":[0.9970335,0.000006062205,0.002672858,0.000005677508,0.00003820036,0.00005293827,0.00001860441,0.00001495676,0.0001571831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984541,"threshold_uncertainty_score":0.5050603,"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."}}