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Record W2151562228 · doi:10.1152/advan.00083.2006

Texts in context: Horace Davenport, carbonic anhydrase, and gastric acid secretion

2007· article· en· W2151562228 on OpenAlexaff
P. K. Rangachari

Bibliographic record

VenueAJP Advances in Physiology Education · 2007
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsCarbonic anhydraseContext (archaeology)SecretionTransporterComputer scienceChemistryCarbonic acidOrder (exchange)BiochemistryPhysiologyHistoryBiologyEnzyme

Abstract

fetched live from OpenAlex

Many standard textbooks of physiology have a diagram that shows the transporting elements that lead to the secretion of HCl by the parietal cell. The transporters are neatly aligned, and students see an elegant mechanism that neatly balances the ions to maintain electroneutrality. They little realize the time and effort required to tease out each of those steps bit by bit. This essay uses three papers by Horace Davenport to highlight the experimental evidence for a crucial step in that process: the generation of H(+) and HCO(3)(-) through the agency of carbonic anhydrase. All three papers form part of the classic papers available through the American Physiological Society Legacy Project.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0120.004

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 head0.007
GPT teacher head0.307
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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