{"id":"W7071478196","doi":"","title":"Search for heavy neutrinos with the T2K near detector ND280","year":2019,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Deutsches Elektronen-Synchrotron; Science and Technology Facilities Council; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Russian Foundation for Basic Research; Russian Science Foundation; Ministry of Education, Culture, Sports, Science and Technology; European Regional Development Fund; U.S. Department of Energy; European Commission; Centre National de la Recherche Scientifique; Western Canada Research Grid; Deutsche Forschungsgemeinschaft; CERN; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Alfred P. Sloan Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Neutrino; Detector; Neutrino oscillation; Massless particle; Range (aeronautics); Mixing (physics); Neutrino detector; Beam (structure)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316322,0.0001819028,0.0001934663,0.0001550614,0.0002259628,0.0002095193,0.00167786,0.00008792387,0.00005734026],"category_scores_gemma":[0.000001890367,0.0001291153,0.00007896993,0.0006798691,0.0001149364,0.0003847743,0.0006669746,0.0002181031,0.0007311213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005671693,"about_ca_system_score_gemma":0.00006271514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002122335,"about_ca_topic_score_gemma":0.00003203713,"domain_scores_codex":[0.9986864,0.0000414934,0.0001073112,0.000555327,0.0001938207,0.0004156741],"domain_scores_gemma":[0.9983027,0.0001236691,0.00006720058,0.001317253,0.0001202996,0.00006888886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008985674,0.0004341811,0.5071005,0.0002931943,0.0004276864,0.0001759784,0.002946445,0.00005439078,0.004837917,0.352041,0.002787366,0.1280028],"study_design_scores_gemma":[0.003082938,0.0006149478,0.3473759,0.00006298874,0.00003741828,0.00008607702,0.0009602801,0.01310889,0.0161591,0.0002132698,0.6175596,0.000738575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821447,0.00001735676,0.2052597,0.003512816,0.00009162433,0.0008848708,0.000009007512,0.0002316743,0.00784824],"genre_scores_gemma":[0.9814894,0.000004919244,0.01198078,0.0002691598,0.0000334225,0.00001043956,0.000002223049,0.00001601652,0.006193676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6147723,"threshold_uncertainty_score":0.9397329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664998225970635,"score_gpt":0.2050867733566002,"score_spread":0.1884367910968939,"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."}}