{"id":"W4408356916","doi":"10.1051/0004-6361/202452048","title":"Performance of the <i>Stellar Abundances and atmospheric Parameters Pipeline</i> adapted for M dwarfs","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; European Social Fund; European Research Council; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Agencia Nacional de Investigación y Desarrollo; Universidad Nacional Autónoma de México; Max-Planck-Gesellschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Belgian Federal Science Policy Office; Deutsche Forschungsgemeinschaft; University of Oxford; York University; Leibniz-Gemeinschaft; University of Notre Dame; European Commission; Royal Swedish Academy of Sciences; Carnegie Mellon University; Uppsala Universitet; Alfred P. Sloan Foundation; University of Washington; European Space Agency; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; Vetenskapsrådet; U.S. Department of Energy; Smithsonian Institution; Vanderbilt University; Swedish National Space Agency; New Mexico State University; University of Portsmouth; Agencia Estatal de Investigación; Yale University","keywords":"Physics; Astrophysics; Stellar atmosphere; Abundance (ecology); Astronomy; Pipeline (software); Stellar classification; Stars","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":[0.001195953,0.001356242,0.0004835692,0.001167255,0.0005451912,0.001216481,0.001247463,0.0006262112,0.007817756],"category_scores_gemma":[0.003110923,0.0005211761,0.0009017427,0.000784096,0.0003178016,0.001276317,0.001162083,0.0007841124,0.008447432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007759794,"about_ca_system_score_gemma":0.00111347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299146,"about_ca_topic_score_gemma":0.01040861,"domain_scores_codex":[0.9991855,0.00005120206,0.00005446794,0.0004288622,0.0001846877,0.00009522389],"domain_scores_gemma":[0.9989228,0.0001743048,0.00008471264,0.0002692501,0.000406789,0.0001421958],"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":[0.004013036,0.000690843,0.09363823,0.0007218476,0.0006700767,0.001083387,0.001015712,0.03758449,0.09114467,0.002871643,0.3209598,0.4456063],"study_design_scores_gemma":[0.0005092806,0.0005124117,0.1144267,0.0001065415,0.0001778728,0.0005789035,0.000296795,0.6455652,0.1290961,0.003547773,0.1049017,0.0002809223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.2111737,0.0003122278,0.1070045,0.0004883052,0.0003914111,0.0003951923,0.0361744,0.6274388,0.01662143],"genre_scores_gemma":[0.5472904,0.0001814456,0.2072416,0.000860967,0.0001406918,0.0003591402,0.2113303,0.02086072,0.01173463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02299146,"threshold_uncertainty_score":0.04571527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511596057621261,"score_gpt":0.1963767486583846,"score_spread":0.1898651526007634,"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."}}