{"id":"W2094436363","doi":"10.1051/0004-6361/201219064","title":"Massive open star clusters using the VVV survey","year":2012,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; Centro de Astrofísica y Tecnologías Afines; Ministerio de Economía y Competitividad; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Stanford Bio-X; California Institute of Technology; National Aeronautics and Space Administration; Agence Nationale de la Recherche; National Science Foundation","keywords":"Astrophysics; Photometry (optics); Physics; Star cluster; Open cluster; Bulge; Galactic Center; Cluster (spacecraft); Galaxy; Astronomy; Context (archaeology); Star formation; Galaxy cluster; Stars; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005083217,0.0001923437,0.0001972145,0.001533362,0.0004098463,0.001108524,0.0003066971,0.0002013821,0.001683977],"category_scores_gemma":[0.001438631,0.0000953607,0.0001393878,0.001811035,0.0001492526,0.000381381,0.001164688,0.0002665757,0.0008041261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857892,"about_ca_system_score_gemma":0.0004579246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387025,"about_ca_topic_score_gemma":0.04151697,"domain_scores_codex":[0.9996247,0.00006514564,0.0000120955,0.000106597,0.00009465175,0.00009674714],"domain_scores_gemma":[0.9991047,0.00007867785,0.0002228764,0.0001343368,0.0001386157,0.0003207597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000121772,0.00004163988,0.9638568,0.00005245748,0.00008076089,0.00008588217,0.0002972004,0.0005489002,0.00110012,0.00162333,0.0133424,0.01884864],"study_design_scores_gemma":[0.000008132604,0.00001833156,0.985557,0.00003272926,0.00003062021,0.0001198567,0.0004889502,0.0007248497,0.00024481,0.0007014351,0.0120651,0.000008078194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611592,0.0009621224,0.001647421,0.0005571379,0.0000632831,0.00004414116,0.02496977,0.0001273301,0.0104697],"genre_scores_gemma":[0.9751377,0.0004053293,0.00132128,0.0001145321,0.00008759944,0.00002551933,0.02111793,0.00003895515,0.001751112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02387025,"threshold_uncertainty_score":0.04746264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026632490529697,"score_gpt":0.2540460693734888,"score_spread":0.2237797444681918,"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."}}