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Record W6943798818 · doi:10.17895/ices.pub.22189147

ICES Symposia Report 2014

2014· report· en· W6943798818 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Council for the Exploration of the Sea (ICES) · 2014
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDemersal zoneFishingSession (web analytics)ArcticDredging

Abstract

fetched live from OpenAlex

Report on ICES sponsored symposia held in 2014: The Second Fishery Dependent Information (FDI) Symposium; held 3–6 March 2014, in Rome, Italy. ICES/PICES Symposium on "Ecological basis of risk analysis for marine ecosystems"; held 2–4 June 2014, in Porvoo, Finland. Symposium on “Effects of fishing on benthic fauna and habitat: Change in ecosystem composition and functioning in response to fishing intensity, gear type and discard”; held 17–19 June 2014, in Tromsø, Norway. International Eel Symposium 2014: Are the eels climbing back up the slippery slope?; held 17–21 August 2014, in Quebec City, Canada. Johan Hjort Symposium on Recruitment Dynamics and Stock Variability; held 7–9 October 2014, in Bergen, Norway. The Fifth International Otolith Symposium 2014; held 20–24 October 2014, in Palma de Mallorca, Spain. PICES Meeting 2014 BIO/MEQ Topic Session (S3) "Tipping points: defining reference points for ecological indicators of multiple stressors in coastal and marine ecosystems"; held 21 October 2014, in Yeosu, Korea. PICES Meeting 2014 BIO/MEQ Topic Session (S8) "Marine debris in the Ocean: Sources, transport, fate and effects of marine Litter"; held 23 October 2014, in Yeosu, Korea. PICES Meeting 2014 FIS Topic Session (S5) "Ecosystem considerations in fishery management of cod and other im-portant demersal species"; held 22–23 October 2014, in Yeosu, Korea. PICES Meeting 2014 POC/MONITOR Topic Session (S9) "Variability in advection and its biological consequences for Subarctic and Arctic ecosystems"; held 23 October 2014, Yeosu, Korea.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.508
Threshold uncertainty score0.702

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.000
Scholarly communication0.0080.004
Open science0.0030.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5080.405

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 head0.272
GPT teacher head0.346
Teacher spread0.074 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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