{"id":"W7115936695","doi":"10.1051/0004-6361/202556298/pdf","title":"The Nearby Evolved Stars Survey","year":2025,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Canadian Space Agency; National Science and Technology Council; Ministry of Science and ICT, South Korea; Vlaamse regering; National Astronomical Observatory of Japan; National Research Foundation of Korea; National Aeronautics and Space Administration; Korea Astronomy and Space Science Institute; Fonds Wetenschappelijk Onderzoek; Alliance de recherche numérique du Canada; Chinese Academy of Sciences; Academia Sinica; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology, Taiwan; Canadian Foundation for AIDS Research; Chinese Academy of Sciences South America Center for Astronomy; National Natural Science Foundation of China; Canarie; Science and Technology Facilities Council; National Research Foundation","keywords":"Stars; Line (geometry); Measure (data warehouse); Data reduction; Homogeneous; Interstellar medium","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":[0.0004568547,0.0002726707,0.0002567086,0.001418457,0.0003495151,0.000499838,0.0004277727,0.0002398778,0.008995119],"category_scores_gemma":[0.0009519912,0.0001087064,0.0001588534,0.001580414,0.00009355773,0.0003809163,0.0009870633,0.0002421269,0.006817395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446605,"about_ca_system_score_gemma":0.0005868442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105751,"about_ca_topic_score_gemma":0.01623467,"domain_scores_codex":[0.9996287,0.00003249217,0.00002911033,0.0001300861,0.0001243392,0.00005535139],"domain_scores_gemma":[0.9991308,0.00004425014,0.0001605661,0.0001121625,0.0002720471,0.0002802564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000607621,0.0001855687,0.5191346,0.0004630095,0.0002140322,0.0005079152,0.000747977,0.0006916815,0.009959948,0.004266794,0.2924274,0.1707935],"study_design_scores_gemma":[0.00005408669,0.00007572817,0.6599596,0.00006293564,0.00003256012,0.0002655945,0.0002714573,0.0006161853,0.001085226,0.0005673123,0.3369935,0.00001595363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3904852,0.001369768,0.004277384,0.0006354967,0.0001027283,0.0004269409,0.537684,0.001174719,0.06384382],"genre_scores_gemma":[0.2514686,0.0008425114,0.007876032,0.0005619869,0.0001158596,0.0003383823,0.7011204,0.0002176823,0.03745859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01105751,"threshold_uncertainty_score":0.03009164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297698140967215,"score_gpt":0.2373979597753144,"score_spread":0.2244209783656423,"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."}}