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Record W4404600777 · doi:10.52601/bpr.2024.240009

Non-invasive micro-test technology and applications

2024· article· en· W4404600777 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiophysics Reports · 2024
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsnot available
FundersBeijing Forestry UniversityInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesPurdue UniversityChinese Academy of SciencesShanxi Medical UniversityInstitute of GeneticsJiangsu Normal UniversityChinese Academy of ForestryInstitute of Biophysics, Chinese Academy of SciencesCapital Medical UniversityInstitute of Botany, Chinese Academy of SciencesCapital Normal UniversityJinan UniversityPeking UniversityChina Agricultural UniversityUniversity of Chicago
KeywordsBiochemical engineeringTest (biology)Computer scienceManagement scienceEngineeringBiologyEcology

Abstract

fetched live from OpenAlex

Non-invasive micro-test technology (NMT) reveals dynamic ionic/molecular concentration gradients by measuring fluxes of ions and small molecules in liquid media in 1D, 2D or 3D fashions with sensitivity up to pico- (10<sup>−12</sup>) or femto- (10<sup>−15</sup>) moles per cm<sup>2</sup> per second. NMT has been applied to study metabolism, signal transduction, genes and/or proteins physiological functions related to transmembrane ionic/molecular activities with live samples under normal conditions or stress. Data on ion and/or molecule homeostasis (IMH) by NMT in biomedical sciences, plant and crop sciences, environmental sciences, marine and space biology as well as traditional Chinese medicine are reviewed.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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