{"id":"W2052635075","doi":"10.1086/650584","title":"Identifying Bright Stars in Crowded Environments Using Velocity Dispersion Measurements, and an Application to the Center of M321","year":2010,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Stars; Metallicity; Brightness; Dispersion (optics); Spectral line; Line (geometry); Surface brightness; Velocity dispersion; Absorption (acoustics)","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":[0.0008418956,0.0007757262,0.0005798761,0.005045641,0.001316881,0.001458116,0.000625067,0.0007266912,0.0006340318],"category_scores_gemma":[0.002331929,0.0003860719,0.0004485278,0.00297379,0.0003617481,0.0007418105,0.001956472,0.0003320612,0.0007118742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605733,"about_ca_system_score_gemma":0.0004391611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470475,"about_ca_topic_score_gemma":0.02206465,"domain_scores_codex":[0.9995695,0.00006260313,0.00002269269,0.0001610194,0.0001103052,0.00007392437],"domain_scores_gemma":[0.998381,0.0001937929,0.0004493946,0.000234171,0.0002929209,0.0004487598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005060054,0.0002220582,0.8537782,0.00009109618,0.0001218373,0.00160592,0.002719706,0.006826464,0.05606508,0.0004597651,0.00113333,0.07647058],"study_design_scores_gemma":[0.00005531129,0.0002228069,0.926882,0.00005754003,0.00005325071,0.00111974,0.001819266,0.05489127,0.0096062,0.001644321,0.003580509,0.00006784679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942155,0.0002072303,0.003869708,0.00004171773,0.000005620545,0.00003210657,0.0003891451,0.0002195061,0.001019513],"genre_scores_gemma":[0.9795302,0.000111506,0.01872697,0.00001786373,0.00002158076,0.00002165423,0.00103693,0.00005799727,0.000475338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470475,"threshold_uncertainty_score":0.02923828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667354467375686,"score_gpt":0.2333461151287275,"score_spread":0.2166725704549707,"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."}}