{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002726993,0.0001450314,0.0001883894,0.00001030672,0.0001764567,0.0000436125,0.0007618622,0.00006044531,0.00003906896],"category_scores_gemma":[0.00002813035,0.00007569798,0.000178311,0.0002022842,0.0003199686,0.00004808237,0.0001661861,0.0005050176,0.000008968404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008602622,"about_ca_system_score_gemma":0.00005231332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008042009,"about_ca_topic_score_gemma":0.0005624847,"domain_scores_codex":[0.9989957,0.00005158749,0.0002485548,0.0002377279,0.0001750783,0.0002913024],"domain_scores_gemma":[0.99893,0.0004065623,0.0001211658,0.000500659,0.00001047589,0.00003116304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001278956,0.0001082963,0.1207646,0.00002580096,0.00005667261,3.543646e-7,0.005240633,0.8715284,0.001001904,0.0001029863,0.0008575774,0.0001848701],"study_design_scores_gemma":[0.0005910155,0.0000255737,0.5029191,0.00005249109,0.00003417035,3.613811e-8,0.008230966,0.4798118,0.006959268,0.0000816015,0.001158124,0.0001358004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954925,0.00002148956,0.00002684799,0.002095994,0.00002451526,0.0001900042,0.0000308106,0.00002819183,0.002089626],"genre_scores_gemma":[0.9992583,3.573344e-7,0.0002330241,0.0001013564,0.00008552518,0.00007301955,0.0000175767,0.00001325632,0.0002175713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917166,"threshold_uncertainty_score":0.3086874,"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."}}