{"id":"W3182314191","doi":"10.22323/1.395.0822","title":"Deep Learning Transient Detection with VERITAS","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; Smithsonian Institution; National Science Foundation","keywords":"Flare; Blazar; Transient (computer programming); Cherenkov radiation; Sky; Deep learning; Range (aeronautics)","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":[0.0006304177,0.001106187,0.0006153897,0.0007490274,0.0003028258,0.001031043,0.001935716,0.001151625,0.00329431],"category_scores_gemma":[0.002227817,0.0004251075,0.0007201072,0.0006305306,0.0003532118,0.001232926,0.001383292,0.001880929,0.00114325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433361,"about_ca_system_score_gemma":0.001147358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107126,"about_ca_topic_score_gemma":0.0141325,"domain_scores_codex":[0.9997166,0.00003778383,0.00001551243,0.0001052552,0.00006340213,0.00006143938],"domain_scores_gemma":[0.9993994,0.0002522956,0.00007535765,0.0001102931,0.0001166754,0.00004597585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006053698,0.0003123367,0.01032427,0.000246632,0.0003198554,0.0002349309,0.0001046669,0.3335154,0.01197453,0.007653562,0.02793339,0.606775],"study_design_scores_gemma":[0.00001731785,0.00003915384,0.0005868487,0.00001170352,0.00001225439,0.00002732127,0.00001583679,0.9923666,0.00258006,0.002827517,0.001506712,0.000008691592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1797102,0.002287269,0.7689784,0.0009662074,0.0003934629,0.0001303339,0.003481026,0.03719025,0.00686289],"genre_scores_gemma":[0.7725154,0.0004163964,0.2063779,0.0005874271,0.0001506692,0.0001583885,0.01001413,0.0006062344,0.009173553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01107126,"threshold_uncertainty_score":0.02201366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089018877061124,"score_gpt":0.2129257043384942,"score_spread":0.2040238166323818,"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."}}