MétaCan
Menu
Back to cohort
Record W7099802663

Original Contribution Population-Based Assessment of Emergency Room Visits and Hospitalizations Among Women Receiving Adjuvant

2016· article· en· W7099802663 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsAdjuvant chemotherapyMedical recordAdjuvantChemotherapyBreast cancerEmergency departmentCancerPopulation
DOInot available

Abstract

fetched live from OpenAlex

Purpose: Adjuvant chemotherapy is considered standard care for patients with lymph node (LN) –positive and high-risk LN-negative early breast cancer (EBC). Although chemotherapy-as-sociated toxicities are documented in clinical trials, the impact of toxicities on emergency room (ER) visits and hospitalizations (ERHs) at a population level with contemporary chemotherapy is unknown. We undertook a population-based study of ERHs in patients with EBC receiving adjuvant chemotherapy compared with noncancer controls (NCCs). Methods: All patients diagnosed with EBC between January 2007 and December 2009 in Ontario, Canada, were identified from the Ontario Cancer Registry. Patient records were linked deterministically to provincial health care databases to provide comprehensive medical follow-up. All patients received one

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.269

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 head0.008
GPT teacher head0.265
Teacher spread0.258 · 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

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicE-Learning and Knowledge ManagementFrench-language works237,207