{"id":"W4404485725","doi":"10.21105/joss.06667","title":"BayesEoR: Bayesian 21-cm Power Spectrum Estimation fromInterferometric Visibilities","year":2024,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill Space Institute; European Commission; McGill University; Rhode Island Space Grant Consortium; National Aeronautics and Space Administration; Brown University; National Science Foundation","keywords":"Bayesian probability; Interferometry; Spectral density; Estimation; Computer science; Mathematics; Remote sensing; Statistics; Physics; Geology; Optics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002687311,0.001997177,0.001304295,0.001945938,0.0009896457,0.002533777,0.00342032,0.001263588,0.03442898],"category_scores_gemma":[0.01223568,0.001589813,0.002015396,0.001428932,0.0005615266,0.002613103,0.002810392,0.002296091,0.01439775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009823762,"about_ca_system_score_gemma":0.002420223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366879,"about_ca_topic_score_gemma":0.02284969,"domain_scores_codex":[0.9990497,0.0002249352,0.00005236879,0.0002113679,0.0003460421,0.000115448],"domain_scores_gemma":[0.9985324,0.0006748239,0.0001473186,0.0002745839,0.0002847392,0.00008608149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008394069,0.0003054628,0.02663395,0.001018262,0.001047347,0.0004524883,0.0007894298,0.1196851,0.01578342,0.056767,0.2391154,0.5375628],"study_design_scores_gemma":[0.0001529447,0.00005189305,0.006037269,0.0001726958,0.0001037046,0.0004450225,0.0001126575,0.8184551,0.01299097,0.08153158,0.07975675,0.0001894656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008430883,0.0004994063,0.9063506,0.000234197,0.0001316474,0.0001394748,0.009915059,0.06919187,0.005106858],"genre_scores_gemma":[0.09663973,0.0004545358,0.840674,0.0005233328,0.0001578099,0.0005463657,0.02249051,0.02697877,0.01153497],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03442898,"threshold_uncertainty_score":0.1151764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145223700774707,"score_gpt":0.2671977392735763,"score_spread":0.2557455022658293,"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."}}