{"id":"W3118558754","doi":"10.3847/1538-4357/ac0058","title":"mirkwood: Fast and Accurate SED Modeling Using Machine Learning","year":2021,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; City University of New York; Space Telescope Science Institute; National Science Foundation","keywords":"Physics; sed; Astrophysics; Astronomy; Medicine","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":[0.001921668,0.001340433,0.001011726,0.001486226,0.0008303975,0.001546357,0.004282373,0.0012566,0.004968851],"category_scores_gemma":[0.007741906,0.001124867,0.00152866,0.0009412554,0.0004717656,0.002502137,0.001917471,0.002300188,0.003210646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060289,"about_ca_system_score_gemma":0.001467051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009613319,"about_ca_topic_score_gemma":0.01133497,"domain_scores_codex":[0.9994411,0.0001206499,0.0000350823,0.0001394846,0.0002149382,0.0000488045],"domain_scores_gemma":[0.9979935,0.0007417345,0.0002019529,0.0005315065,0.0003809236,0.0001503722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000203338,0.0002414356,0.01283929,0.0002399637,0.0004309923,0.0002905767,0.0002498468,0.7981185,0.008828163,0.01500464,0.03944071,0.1241125],"study_design_scores_gemma":[0.00000961216,0.000006104241,0.0003164677,0.000006543263,0.000004540273,0.00001934298,0.000007340851,0.9923412,0.001263089,0.00382351,0.002187304,0.00001494183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02772527,0.0001891091,0.8693259,0.0002525005,0.000141071,0.0000998563,0.002821692,0.09763344,0.001811185],"genre_scores_gemma":[0.2723729,0.0001621123,0.7045786,0.0002735132,0.00007373533,0.0002566436,0.007982315,0.01198326,0.002316984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009613319,"threshold_uncertainty_score":0.01911467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594348295158715,"score_gpt":0.2331799994926188,"score_spread":0.2172365165410316,"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."}}