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Record W1491081422 · doi:10.1107/97809553602060000741

Core dictionary (coreCIF)

2006· book-chapter· en· W1491081422 on OpenAlex
S. R. Hall, Frank H. Allen, I. D. Brown

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Tables for Crystallography · 2006
Typebook-chapter
Languageen
FieldMaterials Science
TopicX-ray Diffraction in Crystallography
Canadian institutionsMcMaster UniversityBrockhouse Institute for Materials Research
Fundersnot available
KeywordsCore (optical fiber)Computer scienceSet (abstract data type)Information retrievalData setUnit (ring theory)CrystallographyNatural language processingArtificial intelligenceChemistryMathematicsProgramming language

Abstract

fetched live from OpenAlex

This is version 2.3.1 of the core CIF dictionary (coreCIF). A commentary on the use of this dictionary may be found in Chapter 3.2. The data names defined here are central to the description and reporting of any crystal-structure determination, and this dictionary collects the natural set of descriptors for small-unit-cell structures (typically inorganic or small-molecule organic or metal-organic compounds) determined in single-crystal experiments. Keywords: crystallography; CIF; CIF dictionaries; Crystallographic Information File; coreCIF; core Crystallographic Information File; data names; data categories; DDL1

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.297
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.044
GPT teacher head0.275
Teacher spread0.232 · 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