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Record W2587695879 · doi:10.1088/1361-6471/aa5f28

Study of bound states in<sup>10</sup>Be by one neutron removal reactions of<sup>11</sup>Be

2017· article· en· W2587695879 on OpenAlexaff
Jacob Johansen, V. Bildstein, M. J. G. Borge, M. Cubero, J. Diriken, J. Elseviers, L. M. Fraile, H. O. U. Fynbo, L. P. Gaffney, R. Gernhäuser, B. Jonson, G. T. Koldste, J. Konki, T. Kröll, R. Krücken, D. Mücher, T. Nilsson, K. Nowak, J. Pakarinen, V. Pesudo, R. Raabe, K. Riisager, M. Seidlitz, O. Tengblad, H. Törnqvist, D. Voulot, N. Warr, K. Wimmer, H. De Witte

Bibliographic record

VenueJournal of Physics G Nuclear and Particle Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of GuelphTRIUMF
FundersSeventh Framework ProgrammeMinisterio de Ciencia e InnovaciónKU LeuvenFonds Wetenschappelijk OnderzoekBelgian Federal Science Policy OfficeDanmarks Frie ForskningsfondBundesministerium für Bildung und ForschungHort InnovationScience and Technology Facilities CouncilVlaamse regeringEuropean Commission
KeywordsNeutronProtonDeuteriumExcited stateAtomic physicsNuclear reactionGround statePhysicsBeam (structure)Nuclear physicsPopulationBound stateChemistry

Abstract

fetched live from OpenAlex

The bound states of 10 Be have been studied by removing single neutrons from 11 Be nuclei.A 2.8 MeV u -1 beam of 11 Be was produced at ISOLDE, CERN and directed on to both proton and deuteron targets inducing one-neutron removal reactions.Charged particles were detected to identify the two reaction channels (d, t) and (p, d), and the individual states in 10 Be were identified by Journal of Physics G: Nuclear and Particle Physics

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.322
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations4
Published2017
Admission routes1
Has abstractyes

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