{"id":"W4391725156","doi":"10.1093/mnras/stae421","title":"<tt>cecilia</tt>: a machine learning-based pipeline for measuring metal abundances of helium-rich polluted white dwarfs","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Victoria","funders":"Leibniz-Gemeinschaft; Natural Sciences and Engineering Research Council of Canada; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; New Mexico State University; Nanjing University; China National Textile and Apparel Council; National Science Foundation; Yunnan University; National Astronomical Observatories, Chinese Academy of Sciences; University of Illinois at Urbana-Champaign; Nuclear Safety and Security Commission; Yale University; University of Toronto; École Polytechnique Fédérale de Lausanne; Space Telescope Science Institute; European Space Agency; Alfred P. Sloan Foundation; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Harvard University; Ohio State University; Smithsonian Institution; University of Colorado Boulder; National Aeronautics and Space Administration","keywords":"Physics; White dwarf; Helium; Astrophysics; Pipeline (software); Massive compact halo object; Abundance (ecology); Astronomy; Stars; Atomic physics; Biology","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":[0.001021924,0.001319021,0.0005163687,0.001327885,0.0006510073,0.001160449,0.001778628,0.0008426106,0.007470929],"category_scores_gemma":[0.002399415,0.0005538361,0.0009405942,0.000530545,0.0005286338,0.0008451266,0.001078347,0.001342763,0.005899086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009188167,"about_ca_system_score_gemma":0.00100371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005539035,"about_ca_topic_score_gemma":0.007451909,"domain_scores_codex":[0.9995995,0.00006816272,0.00001696944,0.0001479164,0.0001253125,0.00004213275],"domain_scores_gemma":[0.9991271,0.0002272583,0.0001053408,0.00022646,0.0002137261,0.000100265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001378334,0.000413763,0.05195471,0.0004601265,0.000418947,0.0008099834,0.0005760472,0.1887059,0.1136209,0.01007621,0.2728505,0.3587346],"study_design_scores_gemma":[0.00006271271,0.00006782762,0.01010421,0.00002501433,0.00001786044,0.0001101964,0.00002422023,0.9102693,0.04636109,0.002523166,0.03036483,0.00006959429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07021844,0.0002113542,0.4582698,0.000761168,0.0002837636,0.0002952279,0.01054492,0.4467993,0.01261598],"genre_scores_gemma":[0.3270806,0.0001225896,0.6232687,0.0009491062,0.0001159826,0.0003965253,0.02031614,0.01987724,0.00787311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007470929,"threshold_uncertainty_score":0.02499276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085713720081992,"score_gpt":0.2207905960566539,"score_spread":0.209933458855834,"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."}}