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Record W7096108371

SHORT COMMUNICATIONS 883 Refined

2015· article· en· W7096108371 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsMuscoviteFortranFunction (biology)PotashSystematic error
DOInot available

Abstract

fetched live from OpenAlex

muscovite structure TI~E structure of the 2M 1 polymorph of muscovite has been refined by a least-squares analysis of the data of Radoslovich (1960). The purpose of this communication is to present in one report both the refined atomic co-ordinates and temperature factors and the pertinent bond distances and angles. Previously, Gatineau (1963) has presented refined atomic co-ordinates based on the original data of Radoslovich, and Burnham and Radoslovich (1963-64) have presented interatomic distances and bond angles for two additional 2M 1 micas, one of which was potash rich (K = 0-66) and muscovite-like and the other soda-rich (K = 0"15) and paragonite-like. The refinement was carried out using a modified version of the least-squares and function and error programmes ofBusing, Martin, and Levy (1962 and 1964) translated into Fortran IV. The final atomic co-ordinates and isotropie temperature factors of Radoslovich were used

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.707
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.006
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2930.093

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 head0.180
GPT teacher head0.372
Teacher spread0.191 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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