{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003365806,0.001494329,0.0007344055,0.001152171,0.001423237,0.001785109,0.002326926,0.001416847,0.0141365],"category_scores_gemma":[0.002474087,0.0006724756,0.0005507242,0.001545908,0.0008219699,0.001305255,0.001015976,0.001769062,0.008854412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446434,"about_ca_system_score_gemma":0.001100859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003336025,"about_ca_topic_score_gemma":0.007086011,"domain_scores_codex":[0.9981285,0.0002843964,0.00009019006,0.000417215,0.0008488614,0.0002308658],"domain_scores_gemma":[0.9977264,0.0004862123,0.0002506447,0.0005505154,0.0008606612,0.000125712],"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":[0.001156625,0.0003951462,0.003656133,0.0003804311,0.0001315966,0.0002632541,0.0003502047,0.0008431475,0.9349773,0.006398967,0.01135935,0.04008781],"study_design_scores_gemma":[0.0000418514,0.0002129285,0.004086996,0.00002970336,0.00004224143,0.0001343228,0.0000660697,0.001359985,0.9659255,0.0005186869,0.02753114,0.00005066793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4421362,0.009093161,0.3734207,0.001161661,0.001083453,0.0006768467,0.03135684,0.01193032,0.1291409],"genre_scores_gemma":[0.706649,0.006269183,0.1494456,0.0006761336,0.0001617557,0.000561294,0.02182431,0.003082727,0.1113299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141365,"threshold_uncertainty_score":0.04729128,"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."}}