{"id":"W4403758235","doi":"10.3847/1538-4357/ad738f","title":"The Power of High-precision Broadband Photometry: Tracing the Milky Way Density Profile with Blue Horizontal Branch Stars in the Dark Energy Survey","year":2024,"lang":"lv","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Milky Way; Photometry (optics); Stars; Astronomy; Astrophysics; Broadband; Tracing; Optics","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":[0.001439746,0.0003381011,0.0002454172,0.001249271,0.0002707741,0.001417268,0.000652221,0.0006859544,0.0006098828],"category_scores_gemma":[0.004293929,0.0004486657,0.0005081749,0.001090004,0.0003254383,0.0009558002,0.0009894067,0.0003784587,0.0004543802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965431,"about_ca_system_score_gemma":0.000353077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613099,"about_ca_topic_score_gemma":0.02591296,"domain_scores_codex":[0.9995531,0.0001612359,0.0000191911,0.0001207567,0.0001003299,0.00004536657],"domain_scores_gemma":[0.998165,0.0006603103,0.0004474537,0.0003993381,0.000168833,0.0001591539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009389743,0.0000667539,0.8562083,0.00004098298,0.0001661169,0.00007774303,0.0001544049,0.08505925,0.006819331,0.002442891,0.001467229,0.04740316],"study_design_scores_gemma":[0.00002724601,0.00005479858,0.4598153,0.00003610956,0.00007251272,0.0001255222,0.0001210485,0.5289798,0.004276343,0.003742213,0.002696868,0.00005224251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929382,0.0004872994,0.06544485,0.0004697391,0.00001008751,0.00002505341,0.001269017,0.000716236,0.002195744],"genre_scores_gemma":[0.9721498,0.0001842168,0.02523086,0.00006008119,0.00002487674,0.00001532866,0.001509676,0.0000639902,0.0007611775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613099,"threshold_uncertainty_score":0.03207415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009239943001605801,"score_gpt":0.2229318531873838,"score_spread":0.213691910185778,"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."}}