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Record W3105914440 · doi:10.24875/rhjm.20000071

Cinética trifásica exponencial contráctil aortorácica a KCl independiente de la edad en ratas Triphasic exponential aortothoracic contractile

2020· article· es· W3105914440 on OpenAlexaff
Javier Padilla-Pérez, Óscar A. López-Canales, Javier Padilla-Keymole, Ma. del Carmen Castillo-Hernández, Ramón Zambrano-Padilla

Bibliographic record

VenueRevista Hospital Ju�rez de M�xico · 2020
Typearticle
Languagees
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsCanadian Nutrition SocietyConcordia University
Fundersnot available
KeywordsExponential functionTRIFMathematicsMedicineInternal medicineMathematical analysis

Abstract

fetched live from OpenAlex

Evaluamos por su significado fisiológico y el mejor mérito estadístico de los modelos bi-y tri-exponenciales y la cinética (constante de tiempo τ, s) de la tensión transitoria contráctil (g) inducida con KCl 40 mM (Tensión[On]) en anillos aortotorácicos de cuatro grupos de ratas Wistar macho (4Gs) de 4.5, 6, 13.5 y 16.2 semanas de edad.El mejor ajuste se obtuvo con el tri-exponencial que distinguió tres diferentes fases cinéticas esperadas (τ Φ1 < τ Φ2 < τ Φ3) en cada grupo (p < 0.05) pero fueron independientes de la edad (4Gs, n = 24, p > 0.05): rápida (33.5 ± 15.2), moderadamente rápida (137.0 ± 43.0) y lenta (281.0 ± 287.0) respectivamente.Esta respuesta trifásica exponencial (τ1 < τ2 < τ3) puede estar relacionada con tres eventos de la dinámica del calcio intracelular tradicionales de la Tensión[On] inducida por despolarización muscular arterial.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.288
Teacher spread0.278 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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