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Role of Hormones in Oral Squamous Cell Carcinoma - An Update

2018· article· en· W2777697523 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Analytical Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsHormoneCancerMedicineBioinformaticsPhysiologyBiologyInternal medicineCancer researchOncology

Abstract

fetched live from OpenAlex

Background: Hormones have been recognized as regulator of the cell growth, differentiation and maturation. It has become increasingly evident that hormone may play a crucial role in the genesis and progression of several cancers like those of breast, ovary, testis, thyroid, prostrate including oral cancer. Aim: Present overview aims to discuss and provide data on possible role of various hormones including stress hormone, sex hormone, parathyroid and related hormone protein, melatonin and active metabolite of vitamin D3 in causation and progression of Oral squamous cell carcinoma (OSCC). Data Acquisition: A systematic search of existing literature was carried out for the keywords like hormones and cancer, hormones and oral cancer or OSCC utilizing the Google, Google Scholar and PubMed databases for extraction, assortment and compilation of data. Inference: In conclusion, we found that hormones are directly or indirectly involved in the pathogenesis of the OSCC and can be utilized in its management and prevention.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.028
GPT teacher head0.372
Teacher spread0.344 · 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