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Record W2034247606 · doi:10.1080/10495390701337335

A Survey of Expressed Sequence Tags from the Rainbow Trout (<i>Oncorhynchus Mykiss</i>) Pituitary

2007· article· en· W2034247606 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

VenueAnimal Biotechnology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsUniversity of VictoriaMemorial University of Newfoundland
Fundersnot available
KeywordsUniGeneBiologyRainbow troutComputational biologyExpressed sequence tagIn silicoGeneticsContigComplementary DNATroutGeneGenomeFish <Actinopterygii>Fishery

Abstract

fetched live from OpenAlex

The pituitary plays significant roles in the regulation of physiological processes. In the current study, expressed sequence tag data was obtained for 1,920 clones from a normalized mixed-sex pituitary cDNA library. From these 3,840 sequences, a total of 524 contigs were assembled and 1,256 unique singletons identified. Assignment of functional annotation was performed through BLAST and gene ontology term assignment. Through in silico comparative mapping homologs were identified for 354 of the unigene sequences. These data provide the first functional information on many of the transcripts present in the rainbow trout pituitary.

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 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 score0.561
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.034
GPT teacher head0.248
Teacher spread0.213 · 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