{"id":"W2790017026","doi":"10.22323/1.301.0769","title":"Background Systematics Studies with VERITAS Data","year":2017,"lang":"en","type":"article","venue":"Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017)","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sky; Systematics; Zero (linguistics); Statistical hypothesis testing; Statistical analysis; Distribution (mathematics); Physics; Statistics; Astrophysics; Astronomy; Mathematics; Philosophy; Linguistics; Mathematical analysis; Biology","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":[0.0004351013,0.000316008,0.000529965,0.00009855584,0.0003308252,0.0006478869,0.002567445,0.00005122361,0.0002476714],"category_scores_gemma":[0.00008927574,0.0002464563,0.00007393107,0.00004645448,0.0003573361,0.001390707,0.000700728,0.0002282298,0.00005329658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004867656,"about_ca_system_score_gemma":0.0001401952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291812,"about_ca_topic_score_gemma":0.00001030358,"domain_scores_codex":[0.998008,0.000006497362,0.000539845,0.0005384517,0.0005938452,0.0003133702],"domain_scores_gemma":[0.9967737,0.00006599355,0.0007682586,0.0005917383,0.001697429,0.0001028725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003022433,0.0004915611,0.7616811,0.0009745969,0.003365588,0.000009867696,0.002681134,0.000008152016,0.007964199,0.194578,0.02084169,0.007101848],"study_design_scores_gemma":[0.02717766,0.003367096,0.468618,0.02480813,0.003398739,0.0002435026,0.1403374,0.03069018,0.04541317,0.08439095,0.1617983,0.009756836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583332,0.0001349936,0.000831809,0.001190562,0.0005540815,0.0003557169,0.0003866124,0.00003505408,0.03817798],"genre_scores_gemma":[0.994465,0.00005058791,0.002624846,0.00003736452,0.000427708,0.00003231916,0.00009961711,0.00002964255,0.002232909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2930632,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127608278680348,"score_gpt":0.3380584975566884,"score_spread":0.2252976696886536,"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."}}