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Record W4382406275 · doi:10.5114/phr.2023.128860

The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study

2023· article· en· W4382406275 on OpenAlexaboutno aff
Łukasz Marek Argier

Bibliographic record

VenuePhysiotherapy Review · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple sclerosisGaitMedicinePhysical therapyPhysical medicine and rehabilitationImmunology

Abstract

fetched live from OpenAlex

AMA Argier Ł. The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study. Physiotherapy Review. 2023;27(2):40-44. doi:10.5114/phr.2023.128860. APA Argier, Ł. (2023). The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study. Physiotherapy Review, 27(2), 40-44. https://doi.org/10.5114/phr.2023.128860 Chicago Argier, Łukasz Marek. 2023. "The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study". Physiotherapy Review 27 (2): 40-44. doi:10.5114/phr.2023.128860. Harvard Argier, Ł. (2023). The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study. Physiotherapy Review, 27(2), pp.40-44. https://doi.org/10.5114/phr.2023.128860 MLA Argier, Łukasz Marek. "The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study." Physiotherapy Review, vol. 27, no. 2, 2023, pp. 40-44. doi:10.5114/phr.2023.128860. Vancouver Argier Ł. The effect of Vojta therapy on gait parameters in a patient with multiple sclerosis – a case study. Physiotherapy Review. 2023;27(2):40-44. doi:10.5114/phr.2023.128860.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.050
GPT teacher head0.276
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2023
Admission routes1
Has abstractyes

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