{"id":"W2143468336","doi":"10.1051/0004-6361/201220107","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":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Science and Technology Facilities Council; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; National Natural Science Foundation of China","keywords":"Physics; Astrophysics; Open cluster; Star cluster; Stars; Bulge; Astronomy; Red supergiant; Spiral galaxy; Galaxy; Context (archaeology); Red clump; Cluster (spacecraft); Star formation; Supergiant; Geology; Paleontology","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":[0.0004469459,0.0001563859,0.000176028,0.001736303,0.0003603045,0.001058177,0.0002676795,0.0001781466,0.001578909],"category_scores_gemma":[0.001317977,0.00008522467,0.0001227312,0.001685865,0.0001271507,0.0003491958,0.001006913,0.0002144444,0.0006499915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002679458,"about_ca_system_score_gemma":0.0003800557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727943,"about_ca_topic_score_gemma":0.02898559,"domain_scores_codex":[0.9996543,0.00005873716,0.00001229873,0.00009707236,0.000095333,0.0000822526],"domain_scores_gemma":[0.9992518,0.00007274211,0.000182821,0.00008939228,0.000118141,0.0002850338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000104032,0.00003124343,0.9725238,0.00004256955,0.00006125726,0.00007888988,0.0002162495,0.0002671625,0.0007851674,0.0008355773,0.007853775,0.01720029],"study_design_scores_gemma":[0.000005793736,0.00001840262,0.9890793,0.00002993203,0.00002887765,0.000149093,0.0003679869,0.0004057508,0.0002008343,0.0003832122,0.009324053,0.000006908095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733101,0.001073254,0.0009254864,0.0003319414,0.00004408386,0.0000351823,0.01600487,0.00008147088,0.008193664],"genre_scores_gemma":[0.981146,0.0005264765,0.0008568988,0.00008837933,0.00006516347,0.00002166155,0.0158893,0.00002217101,0.001383917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01727943,"threshold_uncertainty_score":0.03435767,"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."}}