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Record W4407426700 · doi:10.31579/2767-7370/105

What kind of doctor does a self-regulatory system need?

2024· article· en· W4407426700 on OpenAlexaff
Gusyev Valentyn

Bibliographic record

VenueNew Medical Innovations and Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsPedorthic Research Foundation of Canada
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

When asking such a question, you see confusion in the doctor’s eyes. Experts from other fields of science will say that such a system does not allow any interference in its operation. So, what should we do, how should we be treated when joint pain, headaches and migraines appear, when arterial blood flow is disrupted in the area of the heart, feet and brain. Today, 96% of the population is diagnosed with deformities in the skeletal structures of the feet and spine, 90% of hyperactive children are not allowed to go to school without special pills. But no one thinks about the fact that all diseases are interconnected, and highly specialized doctors fight the body’s reactions, but not the causes. In all this, ignorance of the physiology of a self-regulating organism is seen. That all processes in the body are related to cell metabolism. Skeletal muscles are responsible for these processes, the pumping function of which is disrupted due to deformations in the musculoskeletal frame of the body and in their joints.

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)0.023
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.175
GPT teacher head0.580
Teacher spread0.405 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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