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Record W2600058680 · doi:10.1089/zeb.2017.1418

Optical Projection Tomography as a Novel Method to Visualize and Quantitate Whole-Brain Patterns of Cell Proliferation in the Adult Zebrafish Brain

2017· article· en· W2600058680 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

VenueZebrafish · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilNatural Sciences and Engineering Research Council of CanadaState Government of VictoriaMonash University
KeywordsZebrafishBiologyNeuroscienceNeurodegenerationCellLive cell imagingCell typeNervous systemCentral nervous systemCell biologyPathologyDiseaseGenetics

Abstract

fetched live from OpenAlex

How distinct cell populations are distributed in three-dimensional space under homeostasis or following injury, neurodegeneration, or with senescence can teach us much about brain-wide patterns and signaling along the neuroaxis. Visualizing individual cell populations in the mature vertebrate central nervous system (CNS) has remained a challenge as a result of difficulty clearing adult brain tissue or limitations in imaging depth or resolution. We have developed a simple clearing and imaging pipeline optimally suited for the adult zebrafish brain to investigate changes in patterns of cell proliferation in wild-type and transgenic backgrounds that can easily be quantified and represented using FIJI and IMARIS software.

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)0.002
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 score0.221
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
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 head0.020
GPT teacher head0.356
Teacher spread0.337 · 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