MétaCan
Menu
Back to cohort
Record W2296172144 · doi:10.1016/j.ppnp.2016.12.003

White paper on nuclear astrophysics and low energy nuclear physics Part 1: Nuclear astrophysics

2016· article· en· W2296172144 on OpenAlexaff
Almudena Arcones, D. W. Bardayan, Timothy C. Beers, L. A. Bernstein, J. C. Blackmon, Bronson Messer, B. A. Brown, Edward F. Brown, C. R. Brune, A. E. Champagne, A. Chieffi, A. Couture, Paweł Danielewicz, R. Diehl, Mounib El-Eid, Jutta Escher, Brian D. Fields, Carla Fröhlich, Falk Herwig, W. R. Hix, C. Iliadis, W. G. Lynch, G. C. McLaughlin, B. S. Meyer, Anthony Mezzacappa, F. M. Nunes, Brian W. O’Shea, Madappa Prakash, B. Pritychenko, Sanjay Reddy, Ernst Rehm, G. V. Rogachev, Robert E. Rutledge, H. Schatz, I. H. Stairs, Andrew W. Steiner, Tod Strohmayer, F. X. Timmes, Dean M. Townsley, M. Wiescher, R. G. T. Zegers, M. Zingale

Bibliographic record

VenueProgress in Particle and Nuclear Physics · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsUniversity of Victoria
FundersNational Science Foundation
KeywordsNuclear astrophysicsPhysicsWhite dwarfWhite paperNuclear physicsNuclear reactionNuclear sciencePlan (archaeology)AstrophysicsAstronomyNuclear engineeringStarsPolitical scienceEngineeringHistoryArchaeologyLaw

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0620.048

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations49
Published2016
Admission routes1
Has abstractno

Explore more

Same venueProgress in Particle and Nuclear PhysicsSame topicGamma-ray bursts and supernovaeFrench-language works237,207