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Record W3135486064

Percepção de dor em pilotos de motocross amadores

2019· article· pt· W3135486064 on OpenAlexaboutno aff
Karinne Machado de Souza, Moisés Augusto de Oliveira Borges, Bruno Lucas Pinheiro Lima, Vicente Pinheiro Lima

Bibliographic record

VenueRBPFEX - Revista Brasileira de Prescrição e Fisiologia do Exercício · 2019
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurPsychologyMean valueStandard deviationAthletesChampionshipPhysical therapyMathematicsMedicineStatisticsGeography
DOInot available

Abstract

fetched live from OpenAlex

Objective: To determine the prevalence of hearing of amateur MotoCross riders from the Rio de Janeiro State Motorcycle Sports League. Methods: The sample consisted of 27 male athletes, with 40.63 ± 5.15 years of age, participants of the State Championship of Rio de Janeiro. The McGill test was applied as a breathing device that functions as a sexual stimulus with a sports practice. Results: The results show that in the description of the SENSORIAL luck value, for the descriptors, (COOL and BITE) were translated in one year as a mean (0.19). The descriptor (DOLORIDA) had a higher mean (0.97). In the description of AFETIVA pain, the descriptor (PUNISHER) obtained a lower mean (0.84). The descriptor (AMEDRONTADA) made a higher average. The mean EVA (Visual Analog Scale) (1.07) and the mean of the standard deviation (1.76). Conclusion: Athletes are not a significant difference in pain levels.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.392
Teacher spread0.342 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRBPFEX - Revista Brasileira de Prescrição e Fisiologia do ExercícioSame topicOccupational Health and PerformanceFrench-language works237,207