{"id":"W2900668694","doi":"10.13016/m2st7f14g","title":"Measurement of Atmospheric Neutrino Oscillation Parameters Using Three Years of IceCube-DeepCore Data","year":2018,"lang":"en","type":"dissertation","venue":"Digital Repository at the University of Maryland (University of Maryland College Park)","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neutrino oscillation; Oscillation (cell signaling); Physics; Astronomy; Neutrino; Environmental science; Particle physics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001152116,0.0008374095,0.0004573107,0.001362595,0.0005940778,0.0009375794,0.0006325904,0.0004733042,0.001097377],"category_scores_gemma":[0.001607419,0.0002534082,0.0005783254,0.002045217,0.0003287673,0.0008610919,0.001103705,0.0007560505,0.0005902014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000735459,"about_ca_system_score_gemma":0.0007526188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044356,"about_ca_topic_score_gemma":0.0194645,"domain_scores_codex":[0.9992955,0.0000808808,0.00003566167,0.0002178978,0.0002552839,0.0001148299],"domain_scores_gemma":[0.9989656,0.0001045203,0.0002327258,0.0001930484,0.000369244,0.0001348699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002031667,0.0008947019,0.7458041,0.0006673569,0.001752711,0.0009969624,0.0009449643,0.03518323,0.06099587,0.008950288,0.06511663,0.07666148],"study_design_scores_gemma":[0.0002808752,0.0002914777,0.7983832,0.0001381356,0.0004612401,0.000510669,0.0005286079,0.03755756,0.03908425,0.003501514,0.1190366,0.0002258521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669532,0.001525683,0.0108694,0.0004220836,0.0002816089,0.0002394325,0.09047864,0.001401583,0.02782834],"genre_scores_gemma":[0.8036087,0.0007894015,0.01989731,0.0003940977,0.0001795983,0.0003945666,0.172295,0.0004437692,0.001997528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044356,"threshold_uncertainty_score":0.02076554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546079652923374,"score_gpt":0.1844194126006942,"score_spread":0.1689586160714605,"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."}}