{"id":"W4400432828","doi":"10.1093/mnras/stae1633","title":"<i>Herschel</i> Gould Belt Survey in Taurus – II. A census of dense cores and filaments in the TMC1 region","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Science and Technology Facilities Council; Canadian Space Agency; College of Natural Resources and Sciences, Humboldt State University; Max-Planck-Institut für Astronomie; Centre National d’Etudes Spatiales; Bundesministerium für Verkehr, Innovation und Technologie; Centre National de la Recherche Scientifique; KU Leuven; Agence Nationale de la Recherche; National Aeronautics and Space Administration; California Institute of Technology; Imperial College London; UK Space Agency; Deutsche Forschungsgemeinschaft","keywords":"Physics; Census; Astronomy; Astrophysics; Demography; Population","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":[0.0002011838,0.0001390406,0.0001323504,0.003528245,0.0002486683,0.0002885418,0.0001979821,0.0001105796,0.00220845],"category_scores_gemma":[0.0004098834,0.00007034001,0.0001362288,0.00208281,0.0001397053,0.0001584311,0.0003013581,0.0001023539,0.0006688579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005998405,"about_ca_system_score_gemma":0.0003427635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04426903,"about_ca_topic_score_gemma":0.06227073,"domain_scores_codex":[0.9998735,0.00001089984,0.000008080593,0.00003063366,0.00004184373,0.00003493422],"domain_scores_gemma":[0.9995285,0.0000361509,0.0001781631,0.00005234884,0.00008620549,0.0001187664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009431837,0.00002367131,0.9535577,0.00009727014,0.0000574104,0.0001834757,0.0004786304,0.0005203788,0.0101231,0.0004179969,0.009724904,0.02472108],"study_design_scores_gemma":[0.000002378952,0.00000402435,0.9971945,0.0000036597,0.000002325435,0.00004054264,0.00002679107,0.00008920619,0.0001746391,0.000009232681,0.002451599,0.000001131103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682901,0.0005671339,0.0001358868,0.00007244905,0.000002915428,0.00001941254,0.02860969,0.00007045333,0.002232016],"genre_scores_gemma":[0.9313407,0.0005425862,0.0007673403,0.0000496107,0.00002336936,0.00003157866,0.06563979,0.00003367043,0.001571326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04426903,"threshold_uncertainty_score":0.08802271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853597483197882,"score_gpt":0.2272616148601556,"score_spread":0.2087256400281767,"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."}}