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Functional Traits Exert More Control on Root Carbon Exudation than Do Short-Term Light and Nitrogen Availability in Four Herbaceous Plant Species

2011· dissertation· en· W12464385 on OpenAlex
Eileen Roseanne Thorsos

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

VenueCellular Signalling · 2011
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsnot available
FundersMcGill UniversityNational Science Foundation
KeywordsHerbaceous plantSupervisorNitrogenWrightEcologyBiologyEngineeringManagementChemistry

Abstract

fetched live from OpenAlex

A number of extracellular factors are involved in the embryonic development of skeletal muscle and the muscle regeneration that is triggered in response to muscle damage. Some of them, such as insulin-like growth factors (IGFs), fibroblast growth factors (FGFs), hepatocyte growth factor (HGF), transforming growth factor (TGF)-like molecules, leukemia inhibitor factor (LIF) or platelet-derived growth factors (PDGFs), are involved in the activation of cell proliferation that operates before muscle differentiation. In addition, factors such as IGFs, neuregulins (NRGs), sonic hedgehog (Shh) or Wnt promote muscle differentiation. Here, we review the intracellular signals that are triggered in the myogenic effect of IGFs and neuregulin and we describe common pathways. A fuller understanding of the signalling pathways triggered by these factors may permit the design of new tools for muscle regeneration therapy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.197
Teacher spread0.175 · 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