{"id":"W4391229769","doi":"10.3847/1538-4357/ad072d","title":"An Updated Modular Set of Synthetic Spectral Energy Distributions for Young Stellar Objects","year":2024,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"National Science Foundation","keywords":"Physics; Young stellar object; Modular design; Astrophysics; Set (abstract data type); Astronomy; Stellar atmosphere; Energy (signal processing); Spectral energy distribution; Stars; Spectral line; Star formation","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":[0.0008251415,0.0007562271,0.0004051555,0.0008672986,0.0003410464,0.0009362195,0.001382961,0.0006499639,0.004015277],"category_scores_gemma":[0.002723696,0.0004338591,0.001325912,0.0007143884,0.0002184357,0.0009805486,0.0006997869,0.0007107411,0.003277363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794113,"about_ca_system_score_gemma":0.0004972083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009978952,"about_ca_topic_score_gemma":0.01032219,"domain_scores_codex":[0.9997811,0.00003436688,0.00001226994,0.00006833907,0.00007446652,0.00002949051],"domain_scores_gemma":[0.9991128,0.0001709069,0.00005339048,0.0002956503,0.0002809161,0.00008637705],"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":[0.0005588274,0.0004881438,0.1439263,0.0002444212,0.0004372839,0.0004227479,0.0005216848,0.6775617,0.01763322,0.006643315,0.05343947,0.09812298],"study_design_scores_gemma":[0.00006648679,0.00005110813,0.02096477,0.00002030132,0.00003634562,0.0001442963,0.00005436704,0.9476538,0.006964369,0.003803816,0.02017598,0.00006434455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6255354,0.0002453702,0.235359,0.0005938693,0.0003038586,0.0003345675,0.08133403,0.04385249,0.01244135],"genre_scores_gemma":[0.718755,0.0001835828,0.1407371,0.0002838464,0.00008052137,0.0004510893,0.1300275,0.005383682,0.004097593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009978952,"threshold_uncertainty_score":0.01984173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584738573999405,"score_gpt":0.2462843564171161,"score_spread":0.2376996178431167,"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."}}