{"id":"W4388448787","doi":"10.1093/mnras/stad3310","title":"Stored in the archives: Uncovering the CN/CO intensity ratio with ALMA in nearby U/LIRGs","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Astronomical Observatory of Japan; Jet Propulsion Laboratory; Canada Council for the Arts; National Institutes of Natural Sciences; Canada Research Chairs; California Institute of Technology; National Aeronautics and Space Administration; National Radio Astronomy Observatory; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Luminous infrared galaxy; Astrophysics; Galaxy; Millimeter; Active galactic nucleus; Submillimeter Array; Star formation","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":[0.0003503288,0.0001313279,0.0002108933,0.002546718,0.0005048715,0.0008411113,0.0004507889,0.0001922018,0.001746977],"category_scores_gemma":[0.0008891484,0.0001088211,0.0001403327,0.002248607,0.0002621453,0.000461543,0.00066116,0.0002345809,0.0005165612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004620018,"about_ca_system_score_gemma":0.0002064121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965182,"about_ca_topic_score_gemma":0.03724944,"domain_scores_codex":[0.9998007,0.00002027286,0.00001355643,0.00006105565,0.00006027928,0.00004404834],"domain_scores_gemma":[0.9989074,0.00007676957,0.0004116225,0.0002197888,0.0002030726,0.0001813607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108062,0.00004423356,0.9767185,0.0000265014,0.00003594051,0.0001474725,0.0009524335,0.0001079691,0.007979399,0.0001084973,0.001087413,0.01268096],"study_design_scores_gemma":[0.000001700314,0.00001125993,0.9973533,0.000003870774,0.000009306958,0.00006602438,0.0003329222,0.000305813,0.000896926,0.00002485375,0.0009902696,0.000003710854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968061,0.00009121925,0.0001288595,0.00003110542,0.00000353485,0.00000652367,0.001512617,0.00008818991,0.001331835],"genre_scores_gemma":[0.9968089,0.00004136749,0.0007159334,0.00002317993,0.000012535,0.000005285433,0.001865197,0.00002119551,0.000506481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01965182,"threshold_uncertainty_score":0.0390749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008750677567094836,"score_gpt":0.2227518285524748,"score_spread":0.21400115098538,"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."}}