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Record W2750305117 · doi:10.21065/24122580.2.1

Clinical Study of a Fibrocystic Breast Patient Presented in Dhq Hospital Sialkot, Pakistan.

2015· article· en· W2750305117 on OpenAlexvenueno aff
Muhammad Arshad Awan

Bibliographic record

VenueJournal of Applied Molecular Cell Biology · 2015
Typearticle
Languageen
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTraditional medicine

Abstract

fetched live from OpenAlex

This case report was designed to report an incident of benign breast tissue with fibrocystic change in a 50 years old woman brought to Gujranwala Institute of Nuclear Medicine and Radiotherapy (GINUM) and having 2-3 months of disease history with serious symptoms. With mammography she was diagnosed fibrocystic breast changes and later on fine needle aspiration cytology (FNAC) of the breast was performed. Hence, surgical removal of benign mass was recommended by the consultant oncologist . In DHQ Hospital Sialkot, she undergone a successful surgery. Chemotherapy was suggested for two weeks and she was cured.The effective care of fibrocystic breast change may potentially needs comprehensive assessment for appropriate differential diagnosis. However, the rational therapy and scientific drug monitoring can help to control the fibrocystic breast change. Moreover, consultant oncologists should be careful to detect the exact neoplasm and initiate the treatment to avoid morbidities and mortalitiesss

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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