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Record W4322399302 · doi:10.5281/zenodo.5109802

UNESCO Harmful Algae News NO.63

2019· article· en· W4322399302 on OpenAlexaboutno aff
Beatriz Reguera, Eileen Bresnan

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiocrusts and Microbial Ecology
Canadian institutionsnot available
FundersMinisterio de Ciencia, Tecnología y Medio AmbienteCentre National de la Recherche Scientifique
KeywordsAlgaeBiologyEnvironmental scienceBotany

Abstract

fetched live from OpenAlex

Harmful Algal Blooms in a Changing Climate,<em> Raphael Ku</em>......................................................1 New Initiative on Fish-Killing Algal Blooms, <em>Leonardo Guzmán &amp; Gustaaf Hallegraeff</em>.......................2 IOC-SCOR GlobalHAB Workshop: Evaluating, Reducing and Mitigating the Cost of Harmful Algal Blooms: a Compendium of Case Studies, <em>Vera L Trainer, Keith Davidson, Kazumi Wakita, Elisa Berdalet, Marc Suddleso, Geir Myre &amp; Dean Trethewey</em>..............................................................................3 Massive fish mortality in Teluk Bahang, Penang, Malaysia caused by a hypoxia-inducing algal bloom, <em>Kieng Soon Hii, Zhen Fei Lim, Li Keat Lee, Suh,Nih Tan, Aini Hannani Naqiah Abdul Manaff, Po Teen Lim &amp; Chui Pin Leaw,</em>……………………………………………………………………………………………….………5 Blooms of the potentially harmful raphidophyte <em>Chattonella antiqua </em>and the occurrence of the epiphytic dinoflagellat<em>e Ostreopsis </em>cf.<em> ovata </em>in the coastal waters of Alexandria, Egypt, <em>Shimaa Hosny &amp; Wagdy Labib</em>……………………………………………………………………………………….…………6 First records of <em>Gambierdiscus</em> <em>excentricus</em> and <em>Ostreopsis lenticularis</em> in the Cape Verde Archipelago (Macaronesia, Central Eastern Atlanctic), <em>Emilio Soler Onís, Juan Fernández Zabala, Ana S Ramirez</em>………………….8 <em>Microcystis</em> bloom in Saladito River, central-southern Cuba, <em>Aimee Valle-Pombrol, Augusto Comas-</em><em>González, Minerva Sánchez-Llull &amp; Angel R. Moreira-González,</em>.................................................................10 Citizen Science Oceanography in the Strait of Georgia, Canada-– an overview of five years of operations, <em>Svetlana Esenkulova &amp; Isobel Pearsall…………..</em>...................................................................12 Multicoloured algal blooms in the NW Adriatic during 2018, <em>Cecilia Totti, Tiziana Romagnoli &amp; Stefano Accoroni</em> .............................................14 A bloom of <em>Prorocentrum triestinum </em>in the Hossegor Marine Lake (France), <em>Myriam Perrière-Rumèbe &amp; Claire Meteigner</em>.................................................................................................................16 The ICES Annual Science Conference 2019, <em>Eileen Bresnan, Sophie Pitois &amp; Mike Rust</em>..........…………17 In memoriam, Professor Tufan Koray, <em>Sibel Bargu, Nihayet Bizsel &amp; Kemal Can Bizsel,</em>.............................17 11<sup>th</sup> Irish Shellfish Safety Workshop, <em>Dave Clarke..</em>.......................................................................................18 The 33rd annual meeting of the Australasian Society for Phycology and Aquatic Botany (ASPAB), <em>Tomohiro Nishimura, Lesley Rhodes, Arjun Verma &amp; Judy Sutherland……</em>..........................................20 The 19<sup>th </sup>ICHA in México.....................................................................................................................................21 Modelling and Prediction of Harmful Algal Blooms: Emerging Methods, Regional Problem-solving, and Patterns of Global Change...........................................................................................................21 DINO 12 in the Canary Islands........................................................................................................................ 22

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.011

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 head0.127
GPT teacher head0.290
Teacher spread0.164 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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