{"id":"W4310878343","doi":"10.1093/mnras/stac3484","title":"Bayesian jackknife tests with a small number of subsets: application to HERA 21 cm power spectrum upper limits","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 European Research Council; Australian Research Council; Ministero degli Affari Esteri e della Cooperazione Internazionale; FP7 International Cooperation; Science and Technology Facilities Council; National Research Foundation; European Commission; Royal Society; National Science Foundation; Compute Canada; Smithsonian Astrophysical Observatory; Institut sur la Nutrition et les Aliments Fonctionnels; Massachusetts Institute of Technology; Newton Fund; Scuola Normale Superiore; Canadian Institute for Advanced Research; UK Research and Innovation; Simon Fraser University; American Academy of Periodontology Foundation; McGill University; Gordon and Betty Moore Foundation; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution","keywords":"Jackknife resampling; HERA; Bayesian probability; Computer science; Algorithm; Gaussian; Set (abstract data type); Computation; Statistical hypothesis testing; Statistical power; Mathematics; Physics; Estimator; Statistics; Particle physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04802864,0.0007454096,0.001975595,0.002933484,0.002005632,0.002287728,0.003144771,0.002167599,0.004276501],"category_scores_gemma":[0.2663124,0.0006096662,0.001651892,0.003584174,0.0032703,0.002730225,0.003204426,0.002545079,0.0005979197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156731,"about_ca_system_score_gemma":0.001612474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005336213,"about_ca_topic_score_gemma":0.003911889,"domain_scores_codex":[0.9682472,0.02379077,0.001069764,0.002546405,0.003502534,0.0008433494],"domain_scores_gemma":[0.6727211,0.2985761,0.008399511,0.01326574,0.005073864,0.001963788],"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":[0.003189074,0.000440611,0.1912836,0.0006708969,0.001948508,0.002002328,0.002368084,0.3910482,0.005265018,0.1628081,0.01265368,0.226322],"study_design_scores_gemma":[0.0002191361,0.0003433913,0.02587938,0.0002346792,0.0001311465,0.0004904204,0.0006677542,0.7643045,0.004490444,0.198667,0.004444756,0.0001273875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2679773,0.0006648019,0.7216426,0.001083802,0.0001317956,0.0002756486,0.00114162,0.001080742,0.00600175],"genre_scores_gemma":[0.8502722,0.0001134289,0.1463873,0.0004136999,0.0001129337,0.0003502681,0.001088546,0.0002338207,0.001027774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04802864,"threshold_uncertainty_score":0.2540027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005768247403203752,"score_gpt":0.2007102389652427,"score_spread":0.1949419915620389,"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."}}