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Renal response to volume expansion: learning the experimental approach in the context of integrative physiology.

2000· article· en· W2098564263 on OpenAlexaff
Robert L. Kline, Stephen Dukacz, Tom Stavraky

Bibliographic record

VenueAJP Advances in Physiology Education · 2000
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsWestern University
Fundersnot available
KeywordsContext (archaeology)Presentation (obstetrics)PhysiologyExtracellular fluidComputer scienceMedicineMathematics educationPsychologyChemistryExtracellularBiochemistrySurgeryBiology

Abstract

fetched live from OpenAlex

We describe a laboratory experience for upper-level science students that provides a hands-on approach to understanding the basics of experimental physiology. A pre-lab, interactive tutorial develops the rationale for this experiment by reviewing the renal and cardiovascular mechanisms involved in the response to extracellular fluid volume expansion. After a hypothesis is stated, an experiment is designed to determine the relative importance of dilution of plasma proteins to the overall renal excretory response following volume expansion with intravenous saline. In the lab, students collect data from two groups of anesthetized rats. The protocol involves continuous monitoring of arterial pressure and periodic collection of urine and blood samples after volume expansion with either isotonic NaCl or isotonic NaCl plus 5% albumin. A post-lab tutorial is used to analyze, interpret, and discuss the data. Students next prepare an oral presentation, practice it, and finally present their results and answer questions before peers and instructors. This overall experience involves all of the components of doing a "real" experiment, starting with a question that is not answered in general textbooks of physiology and finishing with an oral presentation of the results. Along the way, students gain a better understanding of a complex homeostatic response and learn the care and value of using animals in research and teaching.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.313
Teacher spread0.304 · 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

Citations2
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueAJP Advances in Physiology EducationSame topicRenal function and acid-base balanceFrench-language works237,207