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Record W2068743807 · doi:10.1177/2156587211415278

The Bill Henderson Protocol

2011· article· en· W2068743807 on OpenAlexaff
Stacey Page, Cynthia Mannion, Laurie Heilman Bell, Marja J. Verhoef

Bibliographic record

VenueJournal of Evidence-Based Complementary & Alternative Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAttributionProtocol (science)MedicineIntervention (counseling)DiseaseFamily medicinePsychologyGerontologyAlternative medicineSocial psychologyNursingPathology

Abstract

fetched live from OpenAlex

This study sought to describe how consumers found the Bill Henderson protocol, a dietary intervention for cancer treatment, and to describe their perceptions and evaluation of its effects. In all, 630 surveys were completed online. Most respondents were ages 55 to 74 years old, well-educated, and had experience with a cancer diagnosis. Most respondents identified the Bill Henderson protocol through Internet searches. More than two thirds had used the protocol, although adherence to its components varied. A number of positive attributions were made to the protocol, including cancer cure (n = 73) and improvements in health status indicators (n = 170). Negative attributions included disease progression (n = 10) and death (n = 2). Consumers search for disease management options online. Attributions regarding this intervention’s success or failure are based on anecdotal experience. There has been no empirical investigation of the Bill Henderson protocol’s safety and efficacy to date, limiting the information on which choice can be made. This could place protocol adherents at risk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.040
metaresearch head score (Gemma)0.093
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.239
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.093
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.2390.050

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 head0.564
GPT teacher head0.451
Teacher spread0.113 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations3
Published2011
Admission routes1
Has abstractyes

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