{"id":"W2892118283","doi":"10.1007/s11433-017-9186-1","title":"Observatory science with eXTP","year":2018,"lang":"en","type":"article","venue":"Science China Physics Mechanics and Astronomy","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McGill University","funders":"Institut de Ciències del Cosmos; National Key Research and Development Program of China; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China; Science and Technology Facilities Council; European Commission; National Aeronautics and Space Administration; Chinese Academy of Sciences; National Science Foundation","keywords":"Observatory; Physics; White dwarf; Supernova; Astronomy; Astrophysics; High-energy astronomy; Stars; White paper; Chinese academy of sciences; Active galactic nucleus; Galaxy; China; History; Cosmic ray","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006049069,0.0002627913,0.0002165332,0.0001028365,0.001317623,0.0004123496,0.0007303609,0.00001798464,0.0001108522],"category_scores_gemma":[0.000003406311,0.0002050926,0.0000455487,0.001174724,0.001515412,0.001261181,0.0003217412,0.0001864991,0.00003343037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000450129,"about_ca_system_score_gemma":0.000772998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009325085,"about_ca_topic_score_gemma":0.000001999635,"domain_scores_codex":[0.9977009,0.00001044827,0.0001787975,0.0007660601,0.0005635532,0.0007802934],"domain_scores_gemma":[0.9987543,0.00001077174,0.0001064659,0.0004943444,0.0003001373,0.0003340244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002036527,0.0002092254,0.1103487,0.000008609443,0.00002795164,0.00000124784,0.001181635,0.00004140928,0.04229209,0.6379128,0.00007404717,0.2078819],"study_design_scores_gemma":[0.005069912,0.003463864,0.3590357,0.0003808698,0.0002095897,0.00001842789,0.009994106,0.03341793,0.3393567,0.1957141,0.04872837,0.004610427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200963,0.00001096729,0.172498,0.00009514162,0.000222498,0.0001708384,0.00001128124,0.00003106634,0.006864014],"genre_scores_gemma":[0.9841819,6.875176e-7,0.01501995,0.00004633137,0.0005736375,0.00001643563,0.000003312246,0.00001886749,0.0001388574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4421986,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130094166910732,"score_gpt":0.2290437273969918,"score_spread":0.2177427857278845,"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."}}