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Record W2913192148 · doi:10.17308/kcmf.2018.20/639

РАСТВОРИМОСТЬ ФОСФОРА В МОНОАРСЕНИДЕ ОЛОВА

2018· article· ru· W2913192148 on OpenAlexaff
Г. В. Семенова, T. P. Sushkova, E. N. Zinchenko, Sergei V. Yakunin

Bibliographic record

VenueКонденсированные среды и межфазные границы · 2018
Typearticle
Languageru
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsSemtech (Canada)
Fundersnot available
KeywordsMaterials scienceCancer researchMedicine

Abstract

fetched live from OpenAlex

Для выяснения конфигурации области гомогенности твердого раствора фосфора в моноарсениде олова методом рентгенофазового анализа были исследованы отожженные при температуре 753 К сплавы, принадлежащие политермическим сечениям SnAs–Sn4Р3, SnAs–Sn0.43P0.57, SnAs–SnP3, SnAs–P тройной системы Sn–As–P. Установлено, что область существования твердых растворов на основе SnAs имеет асимметричную форму, смещенную в сторону избытка летучих компонентов, причем максимальная растворимость фосфора (30-40 мол. %) отвечает направлению политермического сечения SnAs–SnP3. Сам моноарсенид олова обладает заметной областью гомогенности, о чем свидетельствует разница параметров решетки образцов, чей состав был приближен к противоположным границам области гомогенного существования фазы путем отжига в контакте через паровую фазу с гетерогенными смесями составов Sn0.39As0.61 и Sn0.535As0.465. Результаты исследований получены на оборудовании ЦКПНО ВГУ.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.004
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0480.016

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 head0.030
GPT teacher head0.279
Teacher spread0.249 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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