Bibliographic record
Abstract
The search for neutrinoless double-beta ( 0 ν β β ) decay is a key area of research in modern physics, as its observation would indicate a violation of lepton number conservation, a phenomenon predicted by many extensions of the Standard Model. Among various experiments investigating this rare process, the LEGEND-200 experiment is focused on detecting 0 ν β β decay in the 76 Ge isotope using about 200 kg of germanium detectors. Fully operational at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy, the experiment has collected a first exposure of 48.3 kg ⋅ yr, achieving a background index of ( 5 . 3 ± 2 . 2 ) ⋅ 10 − 4 cts/(keV ⋅ kg ⋅ yr). By combining data from LEGEND-200 with results from Gerda and Majorana Demonstrator , the experiment has reached a sensitivity of T 1 / 2 > 2 . 8 ⋅ 10 26 yr (90% C.L) for the 0 ν β β decay half-life in 76 Ge, with an experimental limit of T 1 / 2 > 1 . 9 ⋅ 10 26 yr (90% C.L.).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".