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Record W3118712537

Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XI

2009· article· en· W3118712537 on OpenAlexaboutno aff
R. B. James, L.A. Franks, A. Bürger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNational laboratoryPhysicsHomeland securityNuclear physicsEngineering physicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

ix Conference Committee xiii Introduction SESSION 1 CZT DETECTORS I 7449 02 CZT device with improved sensitivity for medical imaging and homeland security applications (Invited Paper) [7449-01] H. Chen, S. A. Awadalla, P. Marthandam, K. Iniewski, P. H. Lu, G. Bindley, Redlen Technologies (Canada) 7449 04 Dual anode contact geometries for x-ray and gamma-ray spectroscopy and 3D localization [7449-03] J.W. Martin, A. B. Garson III, Q. Li, K. Lee, Washington Univ. in St. Louis (United States); M. Groza, V. Buliga, A. Burger, Fisk Univ. (Uni ted States); H. Krawczynski, Washington Univ. in St. Louis (United States) 7449 05 Front-end ASIC for pixilated wide bandgap detectors [7449-04] E. Vernon, G. De Geronimo, J. Fried, Brookhaven National Lab. (United States); C. Herman, F. Zhang, Z. He, Univ. of Michigan, Ann Arbor (United States) SESSION 2 CZT CHARACTERIZATION I 7449 08 Uniformity of charge collection efficiency in Frisch collar spectrometer with THM grown CdZnTe crystals [7449-07] A. Kargar, A. C. Brooks, Kansas State Univ. (U nited States); M. J. Harrison, Univ. of Florida (United States); H. Chen, S. Awadalla, G. Bindley, B. Redden, Redlen Technologies (Canada); D. S. McGregor, Kansas State Univ. (United States) SESSION 3 CZT DETECTORS II 7449 09 Characterization of a 15-mm-long virtual Frisch-grid CZT detector array (Invited Paper) [7449-08] A. E. Bolotnikov, Brookhaven National Lab. (U nited States); S. Babalola, Fisk Univ. (United States) and Vanderbilt Univ. (United States); G. S. Camarda, Y. Cui, Brookhaven National Lab. (United States); S. U. Egarievwe, Fisk Univ. (United States); P. M. Fochuk, Chernivtsi National Univ. (Ukraine); M. Hirt, Univ. of Mi chigan (United States); A. Hossain, K. Kim, Brookhaven National Lab. (United States); O. V. Kopach, Chernivtsi National Univ. (Ukraine); N. D. Sferrazza, Brookhaven National Lab. (United States); J. Sturgess, Vanderbilt Univ. (United States); K. Polack, Univ. of Michigan (United States); B. Raghothamachar, Stony Brook Univ. (United States); G. Yang, R. B. Ja mes, Brookhaven National Lab. (United States)

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1840.094

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 head0.013
GPT teacher head0.230
Teacher spread0.218 · 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".

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Citations1
Published2009
Admission routes1
Has abstractyes

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