{"id":"W3182423833","doi":"10.22323/1.395.0950","title":"Multi-messenger searches via IceCube’s high-energy neutrinos and gravitational-wave detections of LIGO/Virgo","year":2021,"lang":"en","type":"article","venue":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Santen; Science and Technology Facilities Council; National Science Foundation","keywords":"LIGO; Neutrino; Physics; Gravitational wave; Neutrino detector; Astrophysics; High energy; Astronomy; Neutrino astronomy; Particle physics; Energy (signal processing); Event (particle physics); Neutrino oscillation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001345933,0.0002671091,0.000382695,0.0001782091,0.0001107636,0.0001071661,0.0003061469,0.00005477995,0.0002292893],"category_scores_gemma":[0.00002862666,0.0002838572,0.0001472868,0.0002616268,0.0001952341,0.0003707688,0.000241742,0.000249501,0.000006179367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004745017,"about_ca_system_score_gemma":0.0002374845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004072997,"about_ca_topic_score_gemma":0.000007381942,"domain_scores_codex":[0.9982228,0.0000168769,0.0005554252,0.0004826973,0.0004431981,0.0002789909],"domain_scores_gemma":[0.9972682,0.0001185814,0.0004202214,0.0001245979,0.001936053,0.0001323472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008127616,0.0004931329,0.008913499,0.00006373876,0.0004933923,0.000002219246,0.0005683877,0.00003701482,0.6272666,0.3519827,0.0003103343,0.009787719],"study_design_scores_gemma":[0.00454842,0.0004453716,0.09284908,0.0005205545,0.0002635341,0.00002573761,0.005445843,0.0184812,0.6219826,0.2522361,0.001942362,0.001259268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728825,0.0001140338,0.01910692,0.0006916338,0.0003245886,0.0001722076,0.0003006868,0.00002715868,0.006380265],"genre_scores_gemma":[0.9936786,0.00005774798,0.004750206,0.00005946597,0.0002354325,0.00005728579,0.0001141347,0.00002564358,0.001021446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09974664,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356157618284025,"score_gpt":0.2441458901829879,"score_spread":0.2205843140001477,"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."}}