MétaCan
Menu
Back to cohort
Record W4360601141 · doi:10.1001/jamaoncol.2023.0239

Subcutaneous vs Intravenous Administration of Medications and Fluids for Patients With Cancer in the US and Canada

2023· article· en· W4360601141 on OpenAlexaffabout
Michael Tang, Mohamed Abdelaal, Jenny Lau, Alejandra Ruiz Buenrostro, Minxing Chen, Camilla Zimmermann, Éduardo Bruera

Bibliographic record

VenueJAMA Oncology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsUniversity Health NetworkOttawa HospitalPrincess Margaret Cancer CentreUniversity of Ottawa
Fundersnot available
KeywordsMedicineIntravenous fluidAdministration (probate law)CancerPalliative careIntensive care medicineIntravenous drugEmergency medicineAnesthesiaInternal medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

This cross-sectional study compares rates of subcutaneous and intravenous administration of medications and fluids among patients with cancer in 2 acute palliative care units in the US and Canada.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.862

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 head0.018
GPT teacher head0.360
Teacher spread0.342 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJAMA OncologySame topicSafe Handling of Antineoplastic DrugsFrench-language works237,207