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Record W1515694544

Zalmteelt in Brits Columbia, Canada

2009· article· nl· W1515694544 on OpenAlexaboutno aff
M.J. Huiskamp

Bibliographic record

VenueAquacultuur · 2009
Typearticle
Languagenl
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTheologyStage (stratigraphy)ArtPhilosophyBiology
DOInot available

Abstract

fetched live from OpenAlex

Als student aan de Landbouwuniversiteit in Wageningen heb je, wanneer je op stage wil gaan, bijna onbegrensde mogelijkheden. Ook bij de vakgroep Visteelt en Visserij zijn de landen waar een stage gel open kan worden onbeperkt, als er maar water is. In september 1992 wilde ik op stage gaan, en zoveel mogelijk over zalmteelt te weten komen. Na gesproken te hebben met een student die goede ervaringen in Brits Columbia (B.C.), Canada had opgedaan, besloot ik daar op stage te gaan. Eenmaal aangekomen op het bedrijf, een smolt-producerend bedrijf, bleek dat de centrale verwarming er niet was, dus elke dag hout hakken of kou lijden. Grote verschillen dus met Nederland

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0050.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2009
Admission routes1
Has abstractyes

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