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<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math> decay of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>In</mml:mi><mml:mprescripts/><mml:none/><mml:mn>133</mml:mn></mml:mmultiscripts></mml:math>: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>γ</mml:mi></mml:math> emission from neutron-unbound states in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>133</mml:mn></mml:mmultiscripts></mml:math>
M. Piersa-Siłkowska, A. Korgul, L. M. Fraile, J. Benito, Edyta Adamska-Patruno, A. N. Andreyev, R. Álvarez-Rodríguez, A. E. Barzakh, G. Benzoni, T. Berry, M. J. G. Borge, M. Carmona, K. Chrysalidis, J. G. Correia, C. Costache, J. G. Cubiss, T. Day Goodacre, H. De Witte, Д. В. Федоров, V. N. Fedosseev, G. Fernández-Martínez, A. Fijałkowska, M. Fila, H. O. U. Fynbo, D. Galaviz, P. T. Greenlees, R. Grzywacz, L. J. Harkness-Brennan, C. Henrich, M. Huýse, A. Illana, Z. Janas, K. Johnston, D. S. Judson, V. Karanyonchev, M. Kicińska-Habior, J. Konki, J. Kurcewicz, I. Lazarus, R. Lică, H. Mach, M. Madurga, I. Marroquín, B. A. Marsh, M. C. Martínez, C. Mazzocchi, N. Mărginean, R. Mărginean, K. Miernik, C. Mihai, E. Nácher, A. Negreţ, B. Olaizola, R. D. Page, S. Paulaskalas, Sofia I. Pascu, Á. Perea, V. Pucknell, P. Rahkila, E. Rapisarda, J.-M. Régis, F. Rotaru, S. Rothe, V. Sánchez-Tembleque, G. S. Simpson, Ch. Sotty, L. Stan, M. Stănoiu, M. Stryjczyk, O. Tengblad, A. Turturică, J. M. Udı́as, P. Van Duppen, V. Vedia, A. Villa, S. Víñals, R. Wadsworth, W. B. Walters, N. Warr
Bibliographic record
VenuePhysical review. C · 2019
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of Guelph
FundersNuclear Fuel Cycle and Supply ChainScience and Technology Facilities CouncilNarodowe Centrum NaukiMinisterio de Economía y Competitividad
KeywordsPhysicsExcited stateIonizationAtomic physicsIonQuantum mechanics
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.007 | 0.010 |
| Meta-epidemiology (broad) | 0.004 | 0.010 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.011 | 0.013 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.018 |
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.
Opus teacher head0.024
GPT teacher head0.273
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation status
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; both teacher heads agree on what is shown here.
Meta-epidemiology (narrow)Science and technology studiesOpen scienceResearch integrityInsufficient payload (model declined to judge)
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical
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".
Quick stats
Citations15
Published2019
Admission routes1
Has abstractyes