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Record W4286791051 · doi:10.31579/2692-9392/122

Functional foot correction is the basis of any therapy

2022· article· en· W4286791051 on OpenAlexaff
Gusyev Valentyn

Bibliographic record

VenueArchives of Medical Case Reports and Case Study · 2022
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsPedorthic Research Foundation of Canada
Fundersnot available
KeywordsAnatomyPhysical medicine and rehabilitationBlood circulationThermoregulationMedicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

The main element that supports lymph and blood circulation in the body - the processes of cell metabolism, are musculoskeletal structures. This is indicated by human physiology, but this is not taken into account in the treatment - rehabilitation of the body. The skeleton must be considered not only as a system of levers and muscles that form our posture, but also as a set of movements that are laid down by nature to support the functioning of lymphatic and venous-muscle pumps. The paired muscles hold the bones of the skeleton in the so-called neutral stable position. This achieves the relative stability of the body, in which the General Center of Gravity (GCG) of the body constantly makes oscillations in the X-Y planes within 2-4 cm from its neutral position. So in a state of rest, cell nutrition is continuously maintained, and their decay products are excreted. Without muscle contraction, the respiratory, digestive, and thermoregulation systems would not work.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0380.010

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 head0.055
GPT teacher head0.331
Teacher spread0.276 · 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 designCase report
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
Published2022
Admission routes1
Has abstractyes

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