Bibliographic record
Abstract
<strong>Rapid response to a massive marine mammal stranding event associated with domoic acid poisoning in central to southern California</strong> <em>Clarissa Anderson, Jayme Smith, Raphael Kudela, Tenaya Norris, Alissa Deming, Lauren Palmer, Ruth Dover, Michelle Berman-Kowalewski, Kathi Lefebvre</em>…………………..….1 <strong>Northward expansion of the Atlantic waters may lead to increased presence of HAB species in the western Barents Sea</strong> <em>Qingshan Luan, Elaine Mitchell & Keith Davidson</em>…...………………………………5 <strong>High-Biomass Harmful Algal Blooms (HB-HAB) in the Chilean Fjords System: <em>Prorocentrum micans, </em></strong><em>Patricio A Díaz, Iván Pérez-Santos, Camila Schwerter, Sergio A Rosales, Gonzalo Álvarez, Fabiola Villanueva , Pamela Urrutia, Leila Basti</em>………………………………………………………………………….8 <strong>Identification of Caribbean ciguatoxins from benthic dinoflagellates advances knowledge on toxin chemistry and analysis, </strong><em>Elizabeth M. Mudge, Nancy I Lewis, Pearse McCarron, Christopher O Miles, Silvio Uhlig, Fedor Kryuchkov, Jessica K. Gwinn, Alison Robertson </em>…………..……………………………………...….10 <strong>Exploring the current and historic health of lakes in Aotearoa-New Zealand</strong><em>, </em>………………………………………………………………..…12 <strong>Expansion of the Cawthron Institute Culture Collection of Microalgae (CICCM), </strong><em>Lesley Rhodes, Kirsty Smith</em>…………………………………………14 <strong>HABs in ASLO 2023</strong>……..……………………………………….…15 <strong>The Mixoplankton Paradigm in Planton Ecology, </strong><em>George McManus, Aditee Mitra, Beatriz Reguera, Luciana Santoferrara </em>…..…………………………………..15 <strong>Research on <em>Karenia brevis </em>blooms in the eastern Gulf of Mexico, </strong><em>Anne E. Booker, Cong Fei, Carly Moreno, Tristyn Bercel</em> ………………………….…………18 <strong>Second UK Harmful Algae Group Meeting - Aberdeen 2023, </strong><em>Christine Edwards</em> ………………………………..…19 <strong>Gary Jay Kirkpatrick in memoriam,</strong><em> Oscar Schofield</em>…………………..….21 <strong>Red Tides Archives. The Sherkin Island Marine Station Long-term Phytoplankton Record, </strong><em>Barrie Dale </em>………………………..25 <strong>ISSHA’s Corner. Get Ready for the Upcoming ICHA20 meeting</strong>….………………………………………………………………...28 <strong>Announcement of Special Issue on Karen Steidinger</strong>……………..……29 <strong>NEW! Book on Marine Benthic Dinoflagellates </strong><em>(see page 4)</em>
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.148 | 0.092 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".