{"id":"W1797588316","doi":"10.1051/0004-6361/201323177","title":"Spectro-photometric distances to stars: A general purpose Bayesian approach","year":2015,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Science and Technology Facilities Council; College of Engineering, Michigan State University; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; York University; Johns Hopkins University; University of Utah; Ohio State University; National Science Foundation; University of Washington; Alfred P. Sloan Foundation; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University; Universität Wien; University of Arizona; Princeton University; Brookhaven National Laboratory; U.S. Department of Energy","keywords":"Stars; Physics; Astrophysics; Parallax; Cosmic distance ladder; Star cluster; Bayesian probability; Globular cluster; Photometry (optics); Galaxy; Astronomy; Statistics; Mathematics","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":[0.005149185,0.001134283,0.00210331,0.003118572,0.001387803,0.003258089,0.003745349,0.002722123,0.005033247],"category_scores_gemma":[0.01905995,0.001314355,0.002010419,0.003171698,0.001228419,0.002585995,0.002442256,0.002870883,0.002431656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566872,"about_ca_system_score_gemma":0.002353554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334924,"about_ca_topic_score_gemma":0.02893643,"domain_scores_codex":[0.997524,0.00119086,0.0001354383,0.0006227553,0.0003984646,0.0001284718],"domain_scores_gemma":[0.9939162,0.004173012,0.0004394452,0.0005698945,0.0007362228,0.0001651581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002325885,0.0002309964,0.007308719,0.0004524675,0.0004964641,0.0003186097,0.0002691525,0.5801712,0.002004424,0.1193886,0.01286965,0.2762572],"study_design_scores_gemma":[0.0000343725,0.00003257278,0.001833229,0.00006235896,0.000120867,0.0001670873,0.00003484884,0.849539,0.0003544878,0.1421863,0.005592671,0.00004216413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005766538,0.0008999701,0.9895586,0.0005013302,0.00004445265,0.00006243186,0.0007161473,0.0004738565,0.001976648],"genre_scores_gemma":[0.3076875,0.002981675,0.6745157,0.0006990199,0.0009276147,0.0003845527,0.004675054,0.0004242772,0.007704639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02334924,"threshold_uncertainty_score":0.04642665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398644634588317,"score_gpt":0.2207493390053677,"score_spread":0.2067628926594846,"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."}}