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Record W215163963

Nutrient requirements and feeding of haddock.

2003· article· en· W215163963 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.

venuePublished in a venue whose home country is Canada.
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

VenueNPARC · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Management and Performance Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsHaddockEnvironmental scienceFisheryBiologyFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

The development of feeds for potential new marine fish species for aquaculture must be based on sound information regarding the nutrient requirements, digestion, absorption and retention of major nutrients and energy utilization from various feed ingredients. Until recently, the field of haddock nutrition remained unexplored. Our preliminary research has shown that diet containing high amounts of protein (50-55%), low carbohydrate (<14%), low lipid (<15%) with a sufficient amount of n-3 long chain polyunsaturated fatty acids (1.5-2.0 % eicosapentaenoic and docosahexaenoic fatty acids) and well fortified with vitamins and trace elements is suitable for initial feed formulations of haddock growout diets. Higher amounts of dietary lipid (>12%) cause fatty liver and an increase in hepatosomatic index. The role of certain critical nutrients (protein and amino acids, essential fatty acids, minerals, vitamins), energy utilization, feeds and feeding for haddock is briefly reviewed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.551

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)0.0010.000

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 head0.027
GPT teacher head0.223
Teacher spread0.196 · 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