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Record W2108898930 · doi:10.5214/ans.0972.7531.210109

Sonic hedgehog signalling pathway: a complex network

2014· review· en· W2108898930 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.

Bibliographic record

VenueAnnals of Neurosciences · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsHealth Research FoundationMcGill UniversityUniversity of AlbertaMcGill University Health Centre
Fundersnot available
KeywordsSonic hedgehogHedgehog signaling pathwayBiologyMulticellular organismSignal transductionCell biologySignallingHedgehogNeural tubeNeuroscienceGeneticsCellEmbryo

Abstract

fetched live from OpenAlex

Sonic Hedgehog (Shh) signalling cascade is one of the intricate signal transduction mechanisms that govern the precisely regulated developmental processes of multicellular organisms. Along with establishing the patterns of cellular differentiation to direct complex organ formation, it also has an important role in post-embryonic tissue regeneration and repair processes. Especially, Shh signalling is implicated in the induction of multifarious neuronal populations in central nervous system. There is compelling evidence of the involvement of Shh protein in the signalling network that regulates various morphogenetic processes such as the exquisite neural tube pattern formation. In the morphogenetic field, the activation of Shh signalling processes is intricately linked to the alterations at the molecular level in the structure of Shh protein that leads to its altered biophysical and biochemical reactivity. This brief article gives an overview of such complex cascade of events in Shh signalling and its transduction pathways.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.259
GPT teacher head0.407
Teacher spread0.148 · 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