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Record W1998577768 · doi:10.1159/000163311

A Cell Line, ROSE 199, Derived from Normal Rat Ovarian Surface Epithelium

2008· article· en· W1998577768 on OpenAlexaff
Anne T. Adams, Nelly Auersperg

Bibliographic record

VenueExperimental Cell Biology · 2008
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEpitheliumOvaryStromal cellBiologySerous fluidUltrastructureCell culturePathologyCell biologyEndocrinologyAnatomyMedicineCancer research

Abstract

fetched live from OpenAlex

A cell line, ROSE 199, derived from rat ovarian surface epithelium (ROSE) formed papillary structures which resembled, histologically, serous papillary cystadenomas of borderline malignancy seen in the human ovary. Crowded cultures produced two layers of cells separated by a thick layer of collagen fibers. Such cultures shed viable cells into the growth medium, while no cells were shed by short-term ROSE cultures. The resemblance to ovarian tumors exhibited by ROSE 199 cells in culture, reinforces the hypothesis that the common epithelial tumors of the ovary are derived from the ovarian surface epithelium. ROSE 199 cells, while retaining their epithelial morphology and ultrastructural characteristics, express stromal activity such as abundant collagen production. Perhaps this ability to express epithelial and stromal behavior is a contributing factor to the ready neoplastic transformation of the ovarian surface epithelium.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.024
GPT teacher head0.272
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

Citations35
Published2008
Admission routes1
Has abstractyes

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