{"id":"W4382619359","doi":"10.48550/arxiv.2306.16383","title":"A new method for short duration transient detection in radio images: Searching for transient sources in MeerKAT data of NGC 5068","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Planetary Science Division; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; University of Cape Town; Queen's University; National Research Foundation; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Space Telescope Science Institute; Johns Hopkins University; Queen's University Belfast; National Science Foundation; European Space Agency; National Aeronautics and Space Administration; Eötvös Loránd Tudományegyetem; California Institute of Technology; National Central University; Gordon and Betty Moore Foundation; Durham University; Smithsonian Institution","keywords":"Transient (computer programming); Physics; Astrophysics; Telescope; Sky; Radio telescope; Gamma-ray burst; Galaxy; Computer science","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":[0.0006201474,0.0004327204,0.0003961871,0.002065449,0.0004462358,0.0009243055,0.0008250641,0.0006089041,0.001483963],"category_scores_gemma":[0.001707371,0.0002844482,0.0007968392,0.001260945,0.0003027332,0.0007497786,0.0007856817,0.0005360017,0.0008992815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335848,"about_ca_system_score_gemma":0.0005350709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370013,"about_ca_topic_score_gemma":0.01156195,"domain_scores_codex":[0.9995936,0.00004819697,0.00003234946,0.0001455413,0.000111778,0.00006864322],"domain_scores_gemma":[0.9992477,0.0001763047,0.0001370082,0.0002085862,0.0001482165,0.00008223757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001182231,0.0004579125,0.1179584,0.0004177791,0.0005677147,0.0004811323,0.0006094292,0.02004735,0.2621248,0.003082533,0.01422098,0.5788499],"study_design_scores_gemma":[0.0003434716,0.000497113,0.3734395,0.00006467917,0.0003165108,0.002155427,0.0006556768,0.4945754,0.08973823,0.003459538,0.03452443,0.0002300571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5966489,0.0008697821,0.3822355,0.0004726414,0.0001189712,0.0003472075,0.006564912,0.008350517,0.004391557],"genre_scores_gemma":[0.4807117,0.0002368244,0.5026894,0.0001627164,0.0001045574,0.0002864434,0.01237767,0.0005764404,0.00285429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370013,"threshold_uncertainty_score":0.01067752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257891146158142,"score_gpt":0.2630203974536922,"score_spread":0.1372312828378779,"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."}}