{"id":"W4409317286","doi":"10.1126/science.adq9592","title":"Direct neutrino-mass measurement based on 259 days of KATRIN data","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Lawrence Berkeley National Laboratory; Karlsruhe School of Elementary Particle and Astroparticle Physics: Science and Technology, Karlsruhe Institute of Technology; Istituto Nazionale di Fisica Nucleare; European Commission; Bundesministerium für Bildung und Forschung; National Energy Research Scientific Computing Center; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"KATRIN; Neutrino; Physics; Algorithm; Analytical Chemistry (journal); Chemistry; Nuclear physics; Computer science","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":[0.0009876098,0.0005174211,0.000442025,0.001018901,0.0005115087,0.0007009418,0.0004629155,0.0003603124,0.001337236],"category_scores_gemma":[0.001550225,0.0003154011,0.0004765263,0.0007563146,0.0003044545,0.0006042246,0.001142083,0.0004017536,0.0007410683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750963,"about_ca_system_score_gemma":0.000278293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020192,"about_ca_topic_score_gemma":0.004380683,"domain_scores_codex":[0.9991258,0.0001270796,0.00005059702,0.0003430231,0.0002500568,0.0001034964],"domain_scores_gemma":[0.998957,0.0002142166,0.0002487448,0.0002920693,0.0001948096,0.00009303189],"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":[0.002956657,0.0004293429,0.7762828,0.0003337042,0.0006074989,0.001227176,0.001186349,0.009751486,0.1494039,0.005956139,0.003454672,0.04841018],"study_design_scores_gemma":[0.00007364651,0.0005373484,0.8238641,0.0000558941,0.0003265765,0.0008561051,0.0002550086,0.0274328,0.119745,0.001444784,0.02527809,0.0001306581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881265,0.0001781845,0.002913615,0.00002823191,0.00001601603,0.00003505028,0.002177432,0.000249498,0.00627548],"genre_scores_gemma":[0.9918247,0.00009295248,0.002979406,0.00001611776,0.00001301519,0.00003424798,0.004210202,0.00004710665,0.0007822339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020192,"threshold_uncertainty_score":0.005223036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06797088934052098,"score_gpt":0.3477409948396639,"score_spread":0.2797701054991429,"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."}}