{"id":"W2954994997","doi":"10.1093/mnras/stz2638","title":"A Bayesian approach to matching thermonuclear X-ray burst observations with models","year":2019,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; National Science Foundation","keywords":"Physics; Neutron star; Astrophysics; Thermonuclear fusion; RADIUS; Millisecond pulsar; Accretion (finance); Star (game theory); Pulsar; Type (biology); Plasma; Nuclear physics","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":[0.009186856,0.0009325658,0.001190755,0.004030226,0.001032536,0.003057997,0.00260813,0.001305035,0.00292339],"category_scores_gemma":[0.03875001,0.001256069,0.00196544,0.001963451,0.001183528,0.001852564,0.002228236,0.001940481,0.0005649202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154008,"about_ca_system_score_gemma":0.001938236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373794,"about_ca_topic_score_gemma":0.0109163,"domain_scores_codex":[0.9955391,0.002584229,0.0002187277,0.000763502,0.0007166479,0.0001777148],"domain_scores_gemma":[0.9850624,0.01013201,0.001673471,0.001616735,0.001217374,0.0002980778],"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":[0.0004950939,0.0004387072,0.02546896,0.0001245187,0.001033301,0.0002239078,0.0005075162,0.7125639,0.003817653,0.06562787,0.001606914,0.1880917],"study_design_scores_gemma":[0.00001975325,0.00002830327,0.001968999,0.0000179817,0.00004745632,0.00003232452,0.00003476852,0.9647616,0.0006751333,0.03170361,0.000682401,0.00002772594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03201421,0.00007518167,0.9656559,0.0001630834,0.00001689787,0.0001079545,0.0002945705,0.0004908131,0.001181481],"genre_scores_gemma":[0.4924546,0.0001419381,0.5038404,0.0001850184,0.0001500144,0.0004311053,0.001041222,0.0003158136,0.001439862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01373794,"threshold_uncertainty_score":0.0485853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264751224016722,"score_gpt":0.1904258642864016,"score_spread":0.1777783520462344,"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."}}