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Record W4401510148 · doi:10.1007/978-1-0716-3969-6

Neuronal Morphogenesis

2024· book· en· W4401510148 on OpenAlexfundno aff

Bibliographic record

VenueMethods in molecular biology · 2024
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsnot available
FundersFaculty of Medical Sciences, Newcastle UniversityDepartment of Biological Sciences, Purdue UniversityCollege of Medicine, Drexel UniversityPerelman School of Medicine, University of PennsylvaniaUniversity of North Carolina at Chapel HillDirectorate for Biological SciencesUniversity of PennsylvaniaIndian Institute of Science Education and Research MohaliIstituto Italiano di TecnologiaFakultet Medicinskih Nauka, Univerziteta U KragujevcuIndian Institute of Science Education and Research PuneBuddhist Tzu Chi Medical FoundationHunan UniversityUniversity of New South WalesSorbonne UniversitéRWTH Aachen UniversityUniversity of California, DavisShanghai Educational Development FoundationNYU Grossman School of MedicineInstitut National de la Santé et de la Recherche MédicaleNewcastle UniversityIndian Institute of ScienceUniversity of Nebraska Medical CenterInstitute of Science and Technology AustriaSchool of Veterinary Medicine, University of California, DavisAnschutz Medical Campus, University of ColoradoBirck Nanotechnology Center, Purdue UniversityUniversidade Estadual PaulistaSt. Jude Children's Research HospitalDrexel UniversityJohns Hopkins UniversityYork UniversityPurdue University
KeywordsMorphogenesisNeuroscienceBiologyGeneticsGene

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.048

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 head0.015
GPT teacher head0.347
Teacher spread0.332 · 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
GenreMethods

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

Citations0
Published2024
Admission routes1
Has abstractno

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