{"id":"W4382775916","doi":"10.1103/physrevd.107.123037","title":"Data-driven muon-calibrated neutrino flux","year":2023,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute for Cosmic Ray Research, University of Tokyo; Japan Society for the Promotion of Science; Canada First Research Excellence Fund; University of Tokyo; Academia Sinica; Western Canada Research Grid; Compute Canada","keywords":"Physics; Muon; Neutrino; Flux (metallurgy); Nuclear physics; Particle physics; Covariance; Muon neutrino; Neutrino oscillation; Neutrino detector; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004195877,0.0009653792,0.00234157,0.00008383729,0.0002908248,0.0001181791,0.002300475,0.00003826267,0.0002908383],"category_scores_gemma":[0.0000822287,0.0007972294,0.001036432,0.002516811,0.0002148201,0.0007686478,0.001497587,0.0009207134,0.01075192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006192085,"about_ca_system_score_gemma":0.0002238912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005487833,"about_ca_topic_score_gemma":8.749294e-7,"domain_scores_codex":[0.9945686,0.0003901272,0.001040394,0.001642934,0.001023447,0.00133453],"domain_scores_gemma":[0.9951665,0.0004349661,0.0005587436,0.002926714,0.0002260369,0.0006870471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003978774,0.003576676,0.005697485,0.007662859,0.001024545,0.00004980717,0.0001297141,0.0001544061,0.0244715,0.2562145,0.4314541,0.2695246],"study_design_scores_gemma":[0.001797435,0.0005054418,0.00557806,0.01528033,0.002684455,0.000004139204,0.00006711574,0.04660437,0.00331194,0.2423727,0.6780548,0.003739199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628332,0.02223539,0.0009349594,0.008921404,0.0009415548,0.006478635,0.003561029,0.001574646,0.09251921],"genre_scores_gemma":[0.9686629,0.01747207,0.0001341896,0.003551067,0.004109514,0.0006339201,0.004502984,0.0002230651,0.0007102799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2657854,"threshold_uncertainty_score":0.9994479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145473943490985,"score_gpt":0.4021194707781172,"score_spread":0.3706647313432073,"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."}}