{"id":"W4385304711","doi":"10.22323/1.444.0588","title":"Application of the optimised next neighbour image cleaning method to the VERITAS array","year":2023,"lang":"en","type":"article","venue":"","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; National Energy Research Scientific Computing Center; U.S. Department of Energy; Office of Science; Smithsonian Institution; National Science Foundation","keywords":"Cherenkov radiation; Sky; Pixel; Physics; Noise (video); Telescope; Optics; Energy (signal processing); SIGNAL (programming language); Photon; Detector; Remote sensing; Computer science; Image (mathematics); Astronomy; Artificial intelligence; Geology","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":[0.00086236,0.0005215306,0.0005564189,0.0007141631,0.0003557809,0.001047613,0.0008504607,0.0007767702,0.00256216],"category_scores_gemma":[0.002527685,0.000487465,0.0007450943,0.0005872068,0.0003010423,0.0004535846,0.0008518861,0.0006739875,0.0009084122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517253,"about_ca_system_score_gemma":0.0007493332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578848,"about_ca_topic_score_gemma":0.003839907,"domain_scores_codex":[0.9993346,0.000104581,0.00003958262,0.0001549557,0.0002795485,0.00008666534],"domain_scores_gemma":[0.9989347,0.0002422662,0.0001522302,0.0003247545,0.0003046001,0.0000414963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008875172,0.0001064095,0.007752681,0.0002538743,0.0002370043,0.0004532679,0.0003933919,0.04283359,0.660305,0.003966322,0.002911564,0.2798994],"study_design_scores_gemma":[0.00006411969,0.0003394692,0.02994155,0.00003458704,0.000178362,0.001746782,0.0001430155,0.4082133,0.533029,0.002342758,0.02373338,0.0002337353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1349331,0.0003044147,0.8573959,0.000166185,0.0001079983,0.0001008534,0.0005175612,0.003388895,0.003085137],"genre_scores_gemma":[0.1821018,0.00009915126,0.8133017,0.00006008032,0.00002436159,0.00007940433,0.0008441446,0.0005835913,0.002905659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002578848,"threshold_uncertainty_score":0.008571267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132395026408771,"score_gpt":0.2592699211451114,"score_spread":0.2479459708810237,"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."}}