{"id":"W2954940818","doi":"10.3847/2041-8213/ab2f8a","title":"Sub-arcsecond (Sub)millimeter Imaging of the Massive Protocluster G358.93−0.03: Discovery of 14 New Methanol Maser Lines Associated with a Hot Core","year":2019,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institutes of Natural Sciences; Smithsonian Astrophysical Observatory; National Astronomical Observatory of Japan; Academia Sinica; Smithsonian Institution; National Science Council; National Radio Astronomy Observatory; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Maser; Excited state; Submillimeter Array; Protostar; Line (geometry); H II region; Spectral line; Emission spectrum","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001384414,0.0002847615,0.0004939348,0.00005108416,0.0001822668,0.00009512917,0.0004432831,0.00002018001,0.00003797312],"category_scores_gemma":[0.000008129286,0.0001424098,0.0004250507,0.000252516,0.0002666082,0.0004281072,0.0001906229,0.0005330621,0.00001660952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000032682,"about_ca_system_score_gemma":0.00008673109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002659763,"about_ca_topic_score_gemma":9.918296e-7,"domain_scores_codex":[0.9983048,0.0001350393,0.0004736967,0.0001872962,0.0005360804,0.0003630536],"domain_scores_gemma":[0.9983158,0.0001582839,0.0008969996,0.0003607445,0.0001998751,0.00006830531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005538863,0.0002724927,0.03432256,0.00003114247,0.001756856,0.000004321703,0.001709325,0.004004604,0.9489832,0.00157879,0.003189804,0.003593015],"study_design_scores_gemma":[0.0134736,0.001613934,0.4601526,0.002082891,0.001986679,0.0000242005,0.005297605,0.006233211,0.500028,0.0065245,0.0006074379,0.001975363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798903,0.00001148715,0.01729087,0.001806982,0.000150493,0.0006767194,0.00008090051,0.000005935774,0.00008623879],"genre_scores_gemma":[0.9986715,9.240021e-7,0.0004059577,0.0003371742,0.0003650587,0.00002244907,0.000009946767,0.00003165542,0.0001553239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4489552,"threshold_uncertainty_score":0.5807304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009316337827744338,"score_gpt":0.2197082480411565,"score_spread":0.2103919102134122,"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."}}