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Record W4400299455 · doi:10.54153/sjpas.2024.v6i2.714

تقييم مستويات البروثايرود هرمون (parathyroid hormone (IL-6), TNF-α) في مرضى التهاب المفاصل الرثواني في مدينة سامراء

2024· article· ar· W4400299455 on OpenAlexaff
Hind Abdularazaq Ahmed, Mohammed AL-Sammarai, Zina Lafta Hassan

Bibliographic record

VenueSamarra Journal of Pure and Applied Science · 2024
Typearticle
Languagear
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsCanadian Forces College
Fundersnot available
KeywordsParathyroid hormoneTumor necrosis factor alphaHormoneInternal medicineMedicineEndocrinologyCalcium

Abstract

fetched live from OpenAlex

يقدم هذا النموذج إرشادات حول كيفية كتابة بحث لتقديمه إلى مجلة سامراء للعلوم الصرفة والتطبيقية، كما توفر التنسيق النهائي المطلوب للمقالات التي تنشر في مجلتنا. يجب ألا يتجاوز البحث المقدم 15 صفحة نوع A4. يجب أن يكون العنوان بالغة العربية بحجم خط 16 سميك. يرجى تجنب استخدام عبارات "دراسة جديدة" او "دراسة غير مسبوقة". يجب وضع قائمة كاملة بأسماء المؤلفين تحت العنوان. يجب فصل أسماء المؤلفين بفاصلة (انظر المثال أعلاه). يجب أن يتبع العنوان الملخص، ويجب أن يكون نوع الخط: Times New Roman؛ وبحجم خط 10 نقطة وتباعد الاسطر واحد كما ويجب ألا يتجاوز عدد الكلمات في الملخص 200 كلمة. يجب ألا يحتوي الملخص أي مراجع، ويجب شرح الاختصارات في الملخص اذا تم ذكرها فيه.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1230.076

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 head0.014
GPT teacher head0.280
Teacher spread0.265 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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