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Record W2016951236 · doi:10.2337/db12-1765

The Suprachiasmatic Nucleus, Circadian Clocks, and the Liver

2013· letter· en· W2016951236 on OpenAlexaff
J. Radziuk

Bibliographic record

VenueDiabetes · 2013
Typeletter
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsSuprachiasmatic nucleusPER2PER1Circadian clockOscillating geneCryptochromeBiologyCLOCKCircadian rhythmLight effects on circadian rhythmCell biologyMaster clockEndocrinologyInternal medicinePeriod (music)NeuroscienceMedicine

Abstract

fetched live from OpenAlex

The circadian clock system adapts phasic physi-ological activities, such as sleeping and eating, toenvironmental cycles. The “master clock ” is inthe suprachiasmatic nucleus (SCN) and the prin-cipal cue (Zeitgeber) is the light–dark cycle, around which most mammalian (and those of all living organisms) functions have evolved. In our society, with activity 24 h per day, the clock is frequently overridden or does not match the activity schedule, with increased susceptibility to disease (obesity, type 2 diabetes, and their cardiovas-cular sequelae) resulting. MOLECULAR CLOCKS In the SCN and in other cells, the core molecular clock mechanism consists of specific genes (“clock ” genes). These include Clock (and Npas2), Bmal, the period homologs, Per1 and Per2, and cryptochrome 1 (Cry1) and Cry2. The circadian clock mechanism revolves around transcription–translation feedback loops, in which re-

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.

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)0.001
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0050.004

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 head0.014
GPT teacher head0.204
Teacher spread0.190 · 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
GenreCommentary

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

Citations22
Published2013
Admission routes1
Has abstractyes

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