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Record W2340396815 · doi:10.9734/bjmmr/2016/19011

Quantitative Behavioral Method for Assessing Pharmacologically-Induced Episodes of Micturition in an Animal Model of Urinary Retention and Detrusor-Sphincter Dyssynergia

2015· article· en· W2340396815 on OpenAlexaff
Inge Steuer, Magali Grob, Pierre A. Guertin

Bibliographic record

VenueBritish Journal of Medicine and Medical Research · 2015
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDyssynergiaMedicineUrinationDetrusor sphincter dyssynergiaAnimal modelUrologyAnesthesiaUrinary systemUrinary bladderSphincterUrination disorderInternal medicineSurgeryNeurological disorderCentral nervous system disease

Abstract

fetched live from OpenAlex

No cure or acceptable treatment exists against bladder problems and urinary retention in spinal cord-injured (SCI) patients. Although some non-central nervous system (CNS)-acting drugs exist, as symptomatic treatment, most have been associated with significant side effects and deleterious complications. To ease basic research aimed at identifying new drug candidates against bladder control problems, we develop a standardized approach and corresponding assays for assessing quantitatively acute recovery of bladder expression and episodic urination elicited by CNS-acting compounds in paraplegic animals. Following a period of acclimation, a single systemic (s.c.)

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)0.013
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.433
GPT teacher head0.564
Teacher spread0.131 · 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 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
Published2015
Admission routes1
Has abstractyes

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