{"id":"W3082626860","doi":"10.11606/t.14.2020.tde-26052019-143801","title":"BeAtlas: A grid of synthetic spectra for Be stars - Bayesian inference of the physical properties of B and Be Stars","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Stars; Bayesian probability; Inference; Grid; Astrophysics; Bayesian inference; Spectral line; Computer science; Physics; Astronomy; Artificial intelligence; Mathematics; Geometry","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":[0.00196993,0.0006460746,0.0006479859,0.0009260472,0.0005783295,0.001298922,0.001591411,0.0009375437,0.004276395],"category_scores_gemma":[0.005441401,0.0005505264,0.0008198153,0.0009934958,0.0003740776,0.001007357,0.001030054,0.001107401,0.001590835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006734918,"about_ca_system_score_gemma":0.0008766619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117856,"about_ca_topic_score_gemma":0.0138156,"domain_scores_codex":[0.9995773,0.0001171854,0.00001975633,0.0001788937,0.00007399527,0.00003277917],"domain_scores_gemma":[0.9989088,0.0003539814,0.00006607056,0.0003279464,0.0002413787,0.0001018362],"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":[0.001502942,0.0004927044,0.03238451,0.0001919505,0.0007372834,0.0002065447,0.0002427225,0.7316962,0.007351262,0.006729126,0.03961347,0.1788512],"study_design_scores_gemma":[0.0001233033,0.00005087875,0.004650761,0.00000910464,0.00002319238,0.00002761274,0.00002902378,0.9839439,0.001578794,0.004812406,0.004729251,0.0000217747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5032429,0.0006291153,0.4068691,0.0005701234,0.0002568402,0.0004112169,0.04216593,0.03770112,0.008153762],"genre_scores_gemma":[0.5347523,0.000150766,0.3728217,0.0001594192,0.00006498361,0.0003240361,0.08723015,0.001747618,0.002748988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0117856,"threshold_uncertainty_score":0.02343398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204645789684645,"score_gpt":0.2848139947925458,"score_spread":0.2627675368956994,"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."}}