{"id":"W2018063320","doi":"10.1103/physrevc.71.044309","title":"High precision measurements of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">Na</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>26</mml:mn></mml:mrow></mml:mmultiscripts><mml:mspace width=\"0.3em\"/><mml:mrow><mml:msup><mml:mi>β</mml:mi><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>decay","year":2005,"lang":"lv","type":"article","venue":"Physical Review C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University; TRIUMF; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Welch Foundation; U.S. Department of Energy","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002874285,0.002085488,0.001053646,0.0005661385,0.002948859,0.00221657,0.004260741,0.002397147,0.3224493],"category_scores_gemma":[0.0019625,0.003719317,0.004678345,0.002134676,0.003710464,0.003216774,0.004910225,0.003223739,0.006816838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004942404,"about_ca_system_score_gemma":0.001750095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003336518,"about_ca_topic_score_gemma":0.000704115,"domain_scores_codex":[0.9814059,0.001194374,0.003799799,0.00359055,0.00522832,0.004781049],"domain_scores_gemma":[0.9867057,0.002344515,0.003877256,0.0041686,0.0004829459,0.002420995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002261112,0.001705288,0.0000295626,0.002782686,0.00382095,0.0006629455,0.002348036,0.001292938,0.01375683,0.7053478,0.2558646,0.01012721],"study_design_scores_gemma":[0.003619114,0.002654719,0.0001438357,0.004865159,0.004113674,0.0005872963,0.001694528,0.04581471,0.9230751,0.0007148568,0.009481638,0.003235342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4790007,0.00900027,0.001975891,0.001950383,0.004351565,0.0001715976,0.001088231,0.0004298774,0.5020314],"genre_scores_gemma":[0.977101,0.005306368,0.003498061,0.001982004,0.004852093,0.003259347,0.002084689,0.001500853,0.0004155407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9093183,"threshold_uncertainty_score":0.9991887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448492903716424,"score_gpt":0.2653299438478146,"score_spread":0.2408450148106504,"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."}}