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Record W1997144017 · doi:10.1111/his.12033

Molecular abnormalities in ovarian carcinoma: clinical, morphological and therapeutic correlates

2012· review· en· W1997144017 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistopathology · 2012
Typereview
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsPathologicalSerous fluidOvarian carcinomaClear cell carcinomaCarcinogenesisClear cellPathologyCarcinomaSerous carcinomaOvarian cancerMucinous carcinomaCystadenocarcinomaBiologyMedicineOncologyCancerInternal medicineAdenocarcinoma

Abstract

fetched live from OpenAlex

The histopathological classification of ovarian surface epithelial carcinomas (referred to hereafter as 'ovarian carcinoma') has shifted over the past 10 years to reflect more clearly our understanding of molecular events during carcinogenesis. Ovarian carcinoma is no longer viewed as a single entity but as multiple disease processes, with each having different molecular pathways altered during oncogenesis, resulting in differences in clinical and pathological features, such as biomarker expression, pattern of spread and response to chemotherapy. There are five subtypes of ovarian carcinoma that are sufficiently distinct and well-characterized that they should be considered to be different diseases, i.e. high-grade serous, clear cell, endometrioid, mucinous and low-grade serous, from most to least common, respectively. This review summarizes the molecular abnormalities of these five ovarian carcinoma subtypes, relating them to clinical and pathological features.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.108
GPT teacher head0.373
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