{"id":"W3180187714","doi":"10.1140/epjs/s11734-021-00296-6","title":"Exploring neutrino–nucleus interactions in the GeV regime using MINERvA","year":2021,"lang":"en","type":"preprint","venue":"The European Physical Journal Special Topics","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fermilab; Comisión Nacional de Investigación Científica y Tecnológica; University of Rochester; Science and Technology Facilities Council; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Research Corporation for Scientific Advancement; U.S. Department of Energy; Office of Science; Pontificia Universidad Católica del Perú; Imperial College London; National Science Foundation","keywords":"Physics; Neutrino; Fermilab; Nuclear physics; Neutrino oscillation; Particle physics; Neutrino detector; Neutrino astronomy; Measurements of neutrino speed; Solar neutrino problem; Solar neutrino","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":[0.00112367,0.0005546213,0.0007594512,0.0009465078,0.0006769606,0.001254761,0.001330518,0.0007092665,0.006786691],"category_scores_gemma":[0.001492036,0.0005645491,0.0008085927,0.0006870502,0.0003891989,0.00123902,0.002097171,0.0009279763,0.001699538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000475514,"about_ca_system_score_gemma":0.0005213641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007906544,"about_ca_topic_score_gemma":0.001417268,"domain_scores_codex":[0.9994317,0.0001836955,0.00001249271,0.00008622526,0.0001930486,0.00009287163],"domain_scores_gemma":[0.9993367,0.0002900476,0.0001141903,0.0001582034,0.00005527214,0.0000454991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006193975,0.001378803,0.0736814,0.002373702,0.001462444,0.003460904,0.002267552,0.1136996,0.4533551,0.177577,0.03830463,0.126245],"study_design_scores_gemma":[0.00073481,0.001076166,0.03719829,0.0003280066,0.0002719637,0.001952397,0.000452732,0.5041607,0.219455,0.07666814,0.1573458,0.0003559738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036478,0.002113731,0.05638964,0.00162038,0.0002073573,0.000156494,0.006606056,0.01150341,0.1177553],"genre_scores_gemma":[0.9205033,0.0006786481,0.06273559,0.0004086346,0.00005364927,0.0002120541,0.003988383,0.001896218,0.009523624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006786691,"threshold_uncertainty_score":0.02270377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2018078770341966,"score_gpt":0.3547184458717119,"score_spread":0.1529105688375154,"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."}}