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Record W4405217545 · doi:10.1002/pbc.31468

Current Surgical Approach to Pulmonary Metastasectomy

2024· review· en· W4405217545 on OpenAlexaff
Kristine S. Corkum, Brian T. Craig, Nelson Piché, Luca Pio, Israel Fernández‐Pineda, Marcus M. Malek, Timothy B. Lautz

Bibliographic record

VenuePediatric Blood & Cancer · 2024
Typereview
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMetastasectomyMedicineLungRadiologySurgical resectionNodule (geology)Intensive care medicineMetastasisInternal medicineCancer

Abstract

fetched live from OpenAlex

The lung is a common site of metastases for children and adolescents with a wide variety of solid tumors. The role for pulmonary metastasectomy is dictated by tumor histology and can serve either therapeutic or diagnostic purposes. Careful surgical planning is required to determine the optimal surgical approach and to ensure successful nodule localization. While high level data are limited, in appropriate situations pulmonary metastasectomy can confirm staging, guide therapy, improve survival, and reduce the need for other therapy escalations.

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 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 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 score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.097
GPT teacher head0.418
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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