{"id":"W4307235728","doi":"10.1093/mnras/stac3030","title":"Probing fragmentation with ALMA continuum and spectral line observations of the dense clumps in the ℓ = 224° region","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Natural Sciences; National Astronomical Observatory of Japan; Alberta Livestock and Meat Agency; European School of Oncology; Ministry of Science and Technology; Associated Universities; AeroDynamic Solutions; U.S. Nuclear Regulatory Commission; National Radio Astronomy Observatory; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Astrophysics; Submillimeter Array; Millimeter; Fragmentation (computing); Spectral line; Population; Star formation; Astronomy; Galaxy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002233069,0.0001578243,0.0001970683,0.001050553,0.0002166446,0.0003266176,0.0003015041,0.0001743697,0.0006898133],"category_scores_gemma":[0.0003527704,0.0001195917,0.0001567734,0.0005001077,0.0001257515,0.0001801274,0.0003030323,0.000146955,0.0002114383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231238,"about_ca_system_score_gemma":0.00006712206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003499151,"about_ca_topic_score_gemma":0.007192998,"domain_scores_codex":[0.9999049,0.00001259644,0.000004242971,0.00003036553,0.00002608323,0.00002173691],"domain_scores_gemma":[0.9996229,0.00005517283,0.0001450539,0.00004493899,0.00005676948,0.00007512297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002071526,0.00008419211,0.9227651,0.00002025704,0.00006995898,0.0001373368,0.0002830501,0.0004593186,0.06689035,0.00006160801,0.000220169,0.008801596],"study_design_scores_gemma":[0.000005408799,0.00002958043,0.9977165,0.000001547241,0.000007187689,0.00005291262,0.0000493141,0.0004827313,0.001428069,0.00001108321,0.0002134973,0.000002087138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992906,0.000037505,0.0001918036,0.000005422754,7.427136e-7,0.000003219611,0.0002075615,0.00001339491,0.0002498442],"genre_scores_gemma":[0.9987099,0.0000199101,0.0006501118,0.000009350456,0.000004468054,0.000006286357,0.0004487782,0.000003639729,0.0001474947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003499151,"threshold_uncertainty_score":0.006957591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322422691725651,"score_gpt":0.2059286535775191,"score_spread":0.1927044266602626,"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."}}