{"id":"W2618834904","doi":"10.1140/epjc/s10052-017-5261-3","title":"Measurement of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msub><mml:mi>ν</mml:mi> <mml:mi>μ</mml:mi></mml:msub> </mml:math> energy spectrum with IceCube-79: IceCube Collaboration.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"Science and Technology Facilities Council; Villum Fonden","keywords":"Physics; Neutrino; Observatory; Energy spectrum; Cosmic ray; Neutrino detector; Particle physics; Astrophysics; String (physics); Energy (signal processing); Astronomy; Neutrino oscillation; Theoretical physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002440261,0.001035282,0.0007728265,0.001899144,0.001227501,0.002005397,0.001362877,0.001358699,0.04328779],"category_scores_gemma":[0.003521641,0.0005165858,0.0007769083,0.002882192,0.0005287089,0.002082622,0.00165201,0.00192809,0.0208195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047675,"about_ca_system_score_gemma":0.00124338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00617368,"about_ca_topic_score_gemma":0.01018217,"domain_scores_codex":[0.9987184,0.0002100221,0.00004245297,0.0003023416,0.0005536074,0.0001731872],"domain_scores_gemma":[0.9974393,0.0003264176,0.0003196904,0.0006918174,0.0009428629,0.0002798259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002679205,0.0006635871,0.09348606,0.001125163,0.0008669635,0.0003799259,0.0008688358,0.002870484,0.08574226,0.02527799,0.6997788,0.08626071],"study_design_scores_gemma":[0.000614364,0.0004413885,0.2729548,0.0002616824,0.0003127081,0.0006391782,0.0004569981,0.009312414,0.1320814,0.01425009,0.5683606,0.0003143647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.112349,0.001791193,0.06726038,0.004094677,0.002000338,0.000689735,0.3965695,0.01862933,0.3966159],"genre_scores_gemma":[0.5305757,0.001276738,0.08002745,0.003294144,0.001098075,0.001430477,0.3327095,0.009651951,0.03993593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04328779,"threshold_uncertainty_score":0.144812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417787426077799,"score_gpt":0.204310642021704,"score_spread":0.190132767760926,"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."}}