{"id":"W2948025775","doi":"10.1103/physrevlett.123.161802","title":"Search for Neutrinoless Double-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>β</mml:mi></mml:mrow></mml:math>Decay with the Complete EXO-200 Dataset","year":2019,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Laurentian University; TRIUMF; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Basic Science; International Science and Technology Cooperation Programme; Chinese Academy of Sciences; Deutsche Forschungsgemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Russian Foundation for Basic Research; National Science Foundation","keywords":"Physics; Double beta decay; Energy (signal processing); BETA (programming language); Particle physics; Combinatorics; Algorithm; Statistics; Neutrino; Mathematics; Computer science; Quantum mechanics","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":[0.0008624796,0.0008537694,0.0005349796,0.0007070175,0.0003579043,0.0006917123,0.0008184517,0.0007322703,0.005583263],"category_scores_gemma":[0.0009526287,0.0001986193,0.000730518,0.0006138614,0.0001739124,0.0004527021,0.0007153453,0.0005549827,0.002135524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003459219,"about_ca_system_score_gemma":0.000567776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584021,"about_ca_topic_score_gemma":0.003778779,"domain_scores_codex":[0.9997727,0.0000256145,0.00001275958,0.00008535017,0.00005689767,0.0000467469],"domain_scores_gemma":[0.9996345,0.0001343206,0.00006782843,0.00005253946,0.00005049481,0.00006029702],"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":[0.004627278,0.0009789027,0.4667176,0.001305297,0.001186556,0.002481417,0.000212685,0.01724513,0.1551935,0.01343987,0.1605974,0.1760143],"study_design_scores_gemma":[0.0007981197,0.001251135,0.2988845,0.0001955655,0.0005530798,0.003212172,0.000702038,0.224756,0.2291603,0.01115317,0.22916,0.0001738926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918848,0.001277428,0.0183247,0.0007019619,0.0001314325,0.0001034172,0.04151137,0.002495943,0.01660579],"genre_scores_gemma":[0.7782232,0.0004472696,0.02627087,0.0006198027,0.00006435619,0.0001215784,0.180751,0.0003618469,0.01314007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005583263,"threshold_uncertainty_score":0.01867783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499309216469174,"score_gpt":0.2965452199854037,"score_spread":0.261552127820712,"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."}}