{"id":"W4404342238","doi":"10.48550/arxiv.2410.22468","title":"frb-voe: A Real-time Virtual Observatory Event Alert Service for Fast Radio Bursts","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; McGill University; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Event (particle physics); Observatory; Service (business); Computer science; Real-time computing; Astronomy; Astrophysics; Business; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003850365,0.0004950719,0.000562197,0.0002696295,0.000306671,0.0001107238,0.00196986,0.0004725313,0.00002565627],"category_scores_gemma":[0.00003573938,0.0005526998,0.0004022759,0.0007718459,0.0001428878,0.0002525575,0.003614855,0.0006745426,0.000638736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079899,"about_ca_system_score_gemma":0.0003651492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003121205,"about_ca_topic_score_gemma":0.0001027903,"domain_scores_codex":[0.9972444,0.0001507658,0.0002763607,0.001623021,0.0001203712,0.0005850418],"domain_scores_gemma":[0.997787,0.0002516347,0.0001916359,0.001293345,0.0002838536,0.0001925104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005793927,0.0007003944,0.005031316,0.00213598,0.004110157,0.004298777,0.01168697,0.2573495,0.0003493365,0.6386399,0.06326115,0.01185707],"study_design_scores_gemma":[0.001629071,0.0004304212,0.01218582,0.0008882758,0.0005452647,0.00005108912,0.0004609433,0.8415225,0.0001824479,0.1273491,0.01281939,0.001935682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7835119,0.0008596767,0.2032635,0.002587629,0.004650181,0.001067506,0.0001388714,0.001141913,0.002778785],"genre_scores_gemma":[0.9840826,0.0005237337,0.001518682,0.0006843543,0.0003009883,0.00001060336,0.00004992741,0.00004232079,0.01278677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.584173,"threshold_uncertainty_score":0.9996924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05776714670670174,"score_gpt":0.1972032730264733,"score_spread":0.1394361263197715,"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."}}