{"id":"W3197470584","doi":"10.3847/1538-4357/ac390b","title":"Galactic Mass Estimates Using Dwarf Galaxies as Kinematic Tracers","year":2022,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; National Science Foundation","keywords":"Milky Way; Galaxy; Astrophysics; Physics; Dwarf galaxy; Globular cluster; Gravitational potential; Large Magellanic Cloud; Bayesian probability; Estimator; Sensitivity (control systems); Local Group; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002432316,0.0004529022,0.0003591039,0.002726468,0.0001847772,0.001329934,0.0007957477,0.0004427299,0.0009430558],"category_scores_gemma":[0.01568891,0.0002687377,0.0004889516,0.0008922836,0.0004911227,0.001046162,0.001004628,0.0003833497,0.0004341562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145918,"about_ca_system_score_gemma":0.0002165441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009423618,"about_ca_topic_score_gemma":0.004100801,"domain_scores_codex":[0.9994055,0.0001841727,0.00003020544,0.0001925985,0.0001486496,0.00003875479],"domain_scores_gemma":[0.9955511,0.002302884,0.0007812697,0.0007147597,0.000543349,0.0001067296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002680562,0.0000247539,0.5639481,0.00008916144,0.0005762927,0.0001440185,0.000411636,0.3387214,0.004584107,0.02656286,0.00163446,0.06303529],"study_design_scores_gemma":[0.00007563223,0.00008533015,0.2648685,0.0001409606,0.0001715975,0.0002989279,0.0002705108,0.6738647,0.01112738,0.04013383,0.008822951,0.0001397347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492026,0.001121754,0.1381547,0.0001898472,0.00001787653,0.0000367897,0.001963054,0.0009526371,0.008360667],"genre_scores_gemma":[0.9900594,0.0001080973,0.008508598,0.00001524125,0.000009294304,0.00001025563,0.000996857,0.00004155435,0.0002506578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009423618,"threshold_uncertainty_score":0.01873749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162099516726135,"score_gpt":0.248359178223726,"score_spread":0.2321492265511125,"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."}}