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Record W2167857414 · doi:10.1071/mf05111

Otolith research and application: current directions in innovation and implementation

2005· article· en· W2167857414 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

VenueMarine and Freshwater Research · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsBedford Institute of Oceanography
FundersNorsk Institutt for VannforskningAustralian GovernmentCommonwealth Scientific and Industrial Research OrganisationSouth Australian Research and Development InstituteDepartment of Agriculture, Fisheries and Forestry, Australian GovernmentJames Cook UniversityFisheries Research and Development Corporation
KeywordsOtolithFisheryBiodiversityEnvironmental resource managementGeographyFish <Actinopterygii>EcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The Third International Symposium on Fish Otolith Research and Application was held in Townsville, Queensland, Australia from 11 to 16 July 2004. The overall theme was ‘Innovation and Implementation’, a collection of which is published here (Volume 56, Issue 5). Although age and growth studies predominated at the Symposium, new areas of quality-control assurance, annual-increment formation in deep-sea and tropical fish, image analysis and two-dimensional feature extraction were demonstrated. New statistical approaches were also evident, particularly in the subsampling of commercial data for estimating age compositions. The chemical composition of otoliths as natural data loggers has greatly advanced since the 1998 Symposium, with the advent of micromilling machines, new instrumentation and the use of isotopes rather than elements as environmental indicators. Otoliths will continue to support modern environmental needs for fisheries, marine park assessment, metapopulation conservation and the management of stocks and biodiversity of fish.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.401
Teacher spread0.335 · 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