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Record W1586382682 · doi:10.1002/0471143030.cb0428s65

Freeze‐Fracture Immunocytochemistry: Fracture‐Label and Label‐Fracture for the Localization of Membrane Proteins

2014· review· en· W1586382682 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Protocols in Cell Biology · 2014
Typereview
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsImmunocytochemistryFracture (geology)ChemistryMaterials sciencePathologyMedicineComposite material

Abstract

fetched live from OpenAlex

Freeze-fracture is a unique investigative tool for visualization of the en face topography of individual membrane leaflets of cell membranes at high resolution under the electron microscope. The development of a system of freeze-fracture cytochemical and immunocytochemical techniques has further advanced the utility of this methodological approach for high-resolution localization of specific membrane and intracellular macromolecules in tissues and cells. The unit focuses on description, in a step-by-step manner, of the experimental procedures for two specific freeze-fracture labeling techniques, namely fracture-label and label-fracture. Users are guided in a stepwise manner, starting from the preparation of tissue or cell samples to the final retrieval and mounting of fracture-label and label-fracture specimens for examination on the electron microscope.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.071
GPT teacher head0.400
Teacher spread0.329 · 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