{"id":"W2087980949","doi":"10.1038/nature13432","title":"Search for Majorana neutrinos with the first two years of EXO-200 data","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":438,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Snolab; TRIUMF; Carleton University; University of Sudbury; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; Russian Foundation for Basic Research; National Energy Research Scientific Computing Center; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Physics; MAJORANA; Neutrino; Particle physics; Double beta decay; Beta decay; Fermion; Nuclear physics; Standard Model (mathematical formulation); Sterile neutrino; Sensitivity (control systems); BETA (programming language); Neutrino oscillation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00216429,0.0005684607,0.0004284671,0.002514246,0.0009337376,0.002271132,0.0005147939,0.000987171,0.003421371],"category_scores_gemma":[0.003251701,0.0004874116,0.0007583777,0.002127942,0.0003737327,0.00103691,0.001217696,0.0008817242,0.000951945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005633311,"about_ca_system_score_gemma":0.0009386529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688692,"about_ca_topic_score_gemma":0.007248497,"domain_scores_codex":[0.9993299,0.00007240284,0.00003408814,0.0001824611,0.0001860937,0.0001951392],"domain_scores_gemma":[0.9957108,0.001386983,0.0009048303,0.0005269877,0.0004335728,0.001036746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004063991,0.0007890535,0.8074917,0.0006013941,0.001117145,0.003704882,0.0007611377,0.001797713,0.09626235,0.008693328,0.0148547,0.05986264],"study_design_scores_gemma":[0.0004001967,0.000909123,0.8584579,0.0002219286,0.000950183,0.003094208,0.001177214,0.008482093,0.03460174,0.00604012,0.08550454,0.0001608102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819707,0.00108581,0.001326114,0.0006366838,0.0001198614,0.000042787,0.005500159,0.0002404751,0.009077491],"genre_scores_gemma":[0.9855177,0.000284911,0.001851451,0.0003755399,0.000116285,0.00003067791,0.009089417,0.00008401625,0.002650085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003421371,"threshold_uncertainty_score":0.011446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138272362921816,"score_gpt":0.3214930914887337,"score_spread":0.3001103678595156,"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."}}