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Record W3016071602 · doi:10.1136/vetreccr-2019-001033

Multiple segment total en bloc vertebrectomy and chest wall resection in a dog with an invasive myxosarcoma

2020· article· en· W3016071602 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

VenueVeterinary Record Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineVertebrectomyLatissimus dorsi muscleSternumSurgeryThoracic wallPneumothoraxRib cageImplantResectionPectus excavatumAnatomyVertebral columnThoracic vertebraeLumbarLumbar vertebrae

Abstract

fetched live from OpenAlex

A 9.5‐year‐old, 22.6 kg, castrated male mixed breed dog was diagnosed with a paravertebral myxosarcoma invading into the T9–T11 vertebrae and dorsal left‐sided thoracic wall. A total multisegment vertebrectomy of T9–T12 and chest wall resection of the left 8th–12th ribs were performed to resect the tumour en bloc. A patient‐specific, three‐dimensional implant was designed and printed to reconstruct the defect in the vertebral column following resection of the tumour. This implant was supplemented with four 2.7 mm string‐of‐pearl plates. The chest wall defect was reconstructed with a latissimus dorsi muscle flap. Postoperative complications included neurological deterioration, and necrosis of the latissimus dorsi muscle flap resulting in marked pneumothorax and cardiorespiratory arrest 17 days postoperatively.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.770

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 head0.037
GPT teacher head0.279
Teacher spread0.242 · 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