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Record W4211044916 · doi:10.1002/9781119108603.ch15

Intraocular neoplasia

2018· other· en· W4211044916 on OpenAlexaff
Robert L. Peiffer, Brian Wilcock

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsUniversity of GuelphUniversity of Saskatchewan
Fundersnot available
KeywordsCATSCiliary bodyMalignancyPathologyMedicineNeoplasmEye neoplasmBiologyInternal medicine

Abstract

fetched live from OpenAlex

Neoplasms within the animal's globe may be primary (arising from one of the intraocular tissues), secondary (invading the globe from an adjacent tissue), or metastatic (arising via hematogenous dissemination of a distant malignancy). Uveal melanocytic neoplasia is the most common primary intraocular neoplasm, occurring roughly three times as frequently as ciliary body epithelial neoplasms in dogs and 10 times as frequently as ciliary body epithelial neoplasms in cats. Other primary intraocular neoplasms include posttraumatic sarcomas of cats and rarely other species such as the rabbit, schwannomas of blue eyed dogs, astrocytomas, and primary neuroectodermal neoplasms including medulloepitheliomas and retinoblastomas in varied animal species. Secondary neoplasia is most commonly encountered with squamous cell carcinoma of cow, horse, and cat, and nasal adenocarcinomas with orbital extension in dogs. With diagnosis in hand the clinician must consider management options for the particular animal affected.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.010

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 head0.032
GPT teacher head0.368
Teacher spread0.336 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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