{"id":"W3095521302","doi":"10.1051/0004-6361/201936291","title":"Atomic data for the <i>Gaia</i>-ESO Survey","year":2020,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Science Foundation; Uppsala Universitet; Lietuvos Mokslo Taryba; Universität Wien; Institut sur la Nutrition et les Aliments Fonctionnels; European Social Fund; Australian Research Council; Swedish National Space Agency; Knut och Alice Wallenbergs Stiftelse; European Regional Development Fund; European Commission; Science and Technology Facilities Council; Ministero dell’Istruzione, dell’Università e della Ricerca; Leverhulme Trust; Ministerio de Ciencia, Innovación y Universidades","keywords":"Spectral line; Hyperfine structure; Radiative transfer; Stars; Line (geometry); Astronomical spectroscopy; Abundance (ecology); Stellar atmosphere; Emission spectrum","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138939,0.0002336289,0.000276204,0.000009120569,0.0003593843,0.00009627921,0.0004675291,0.00002156937,0.00005382553],"category_scores_gemma":[0.00001413173,0.0001759745,0.00006902256,0.00009185358,0.0001131681,0.0001751605,0.0002926459,0.0001700842,0.00003334523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004076163,"about_ca_system_score_gemma":0.00004696596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002486336,"about_ca_topic_score_gemma":0.00000662393,"domain_scores_codex":[0.9988843,0.00004643046,0.0002030649,0.0004317822,0.0001051706,0.0003293091],"domain_scores_gemma":[0.9986957,0.0005529194,0.0001105671,0.0004814881,0.00004363957,0.0001156733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001261585,0.00004676078,0.7418696,0.00001196403,0.0004161007,2.979302e-7,0.0001812767,0.000108054,0.00001460656,0.001251488,0.01200417,0.2439695],"study_design_scores_gemma":[0.001813378,0.0003017404,0.4773018,0.00001371253,0.0003763255,7.724382e-7,0.0008852203,0.005322832,0.0001949116,0.0004922169,0.5127524,0.0005446313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07813726,0.000850812,0.9121075,0.00221305,0.0004710376,0.000907129,0.00202865,0.00006405584,0.003220454],"genre_scores_gemma":[0.9899722,0.00001326478,0.007158228,0.000218237,0.001381665,0.00002177285,0.001152624,0.00002449921,0.00005744897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.911835,"threshold_uncertainty_score":0.7176033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706177422666426,"score_gpt":0.2396311585150977,"score_spread":0.2025693842884334,"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."}}