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Record W4239904673 · doi:10.1128/9781555819705.ch4

Microbial Interactions and Interventions in Colorectal Cancer

2018· book-chapter· en· W4239904673 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

VenueASM Press eBooks · 2018
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsColorectal cancerCancerDiseaseMedicineGastrointestinal tractInternal medicineOncology

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC), the most common form of gastrointestinal (GI) tract cancer, is globally the third leading cause of cancer and is associated with significant mortality (1). Approximately 90% of CRC cases are sporadic, caused by somatic mutations leading to the progression of invasive carcinomas (2). There are numerous risk factors associated with the development of CRC, and the disease is more common in industrialized countries than it is in the developing world (1). Poor diet (in particular, a diet that is low in fiber and high in fat) appears to be a major influencing factor for disease development and progression, and recently it has been recognized that gut microbes may act as the interface between dietary factors and tumor development (reviewed in reference 3). This chapter will review the pathways that lead to CRC, what is currently known about microbial involvement in these processes, and how these may be manipulated therapeutically.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.912
Threshold uncertainty score0.870

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 head0.035
GPT teacher head0.316
Teacher spread0.281 · 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