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Record W4393377433 · doi:10.1007/s10811-024-03217-x

The 24th International Seaweed Symposium - ‘Seaweeds in a changing world’

2024· article· en· W4393377433 on OpenAlexaboutno aff
Daniel Robledo

Bibliographic record

VenueJournal of Applied Phycology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsAlgaeBrown seaweedBiologyBotany

Abstract

fetched live from OpenAlex

Abstract The 24th edition of the International Seaweed Symposium (ISS), an academic-industry event that dates back to 1952, was held for the first time in Oceania. The local organizing committee chaired by Professor Catriona Hurd, Institute for Marine and Antarctic Studies, University of Tasmania, and Professor Michael A. Borowitzka, Murdoch University, Western Australia worked tirelessly to curate a program that balanced scientific rigor with engaging discussions, providing ample opportunities for networking and collaboration. “ Seaweeds in a changing world ” was the theme of this symposium, participants from 48 countries from all over the world attended this symposium from 19-24 February 2023. More than 576 on-site and 207 virtual participants registered for the Symposium who contributed to the success of this event. The International Seaweed Association (ISA) ensures the continued development of seaweed and its benefits and serves as a bridge between research academia and industry. The ISA is ready to celebrate the Silver Jubilee of the ISS and is also proud to announce that the 25th International Seaweed Symposium (ISS) will be held in Victoria, British Columbia, Canada, 4-9 May, 2025 with the Local support of Ocean Networks Canada, Cascadia Seaweed, and the Pacific Seaweed Industry Association ( https://iss25.com ).

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 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 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: none
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.210
Teacher spread0.204 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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