UNESCO Harmful Algae News NO.50
Bibliographic record
Abstract
Highlights of the XVI International Conference on Harmful Algae, Beatriz Reguera, Donald Anderson, Michelle Burford, Keith Davidson, Rosa Figueroa, Gustaaf Hallegraeff, Phil Hess, Kevin Sellner, Patricia Tester, Adriana Zingone & Lincoln MacKenzie ................................................................................................ 1 Preparations for the 17th International Conference on Harmful Algae (ICHA) have started .................................... 8 IFREMER will host the 18th International Conference on Harmful Algae (ICHA) in Nantes, France......................... 8 Workshop on quantitative PCR techniques for harmful algae, Kirsty Smith..... 9 Cawthron visitors post ICHA Meeting, Tim Harwood & Lesley Rhodes.............. 9 Eutrophication and Harmful Macroalgal Blooms in Florida’s Indian River Lagoon, Brian E Lapointe & Laura W Herren .................................................. 10 Conspicuous blooms of Chaetomorpha linum in the International Biosphere Reserve Seaflower, SW Caribbean, Brigitte Gavio & J. Ernesto Mancera-Pineda................................. 12 Unusual biomass of pelagic Sargassum reached the Southwestern Caribbean, Brigitte Gavio, M. Natalia Rincón-Díaz & Adriana Santos-Martínez ............................ 13 First record of the harmful dinoflagellate Cochlodinium polykrikoides in Lampung Bay, Indonesia, Hikmah Thoha, Arief Rachman, Tumpak Sidabutar, Nurul Fitriya, Mariana D. Bayu, Muawanah, Mitsunori Iwataki, Kazuya Takahashi & Estelle Masseret ................................................................................................ 14 Observations of Heterosigma akashiwo bloom and associated wild salmon lethargic behavior in Cowichan Bay, Canada, 2014, Svetlana Esenkulova, Oline Luinenburg, Chrys Neville & Marc Trudel ............................... 16 Book review: Marine benthic dinoflagellates – unveiling their worldwide biodiversity (Mona Hoppenrath, Shauna Murray,Nicolas Chomérat & Takeo Horiguchi), Santiago Fraga........................................................................ 18 First report of a mass-poisoning outbreak following the consumption of Tectus niloticus (Gastropod) in French Polynesia: a novel pathway of Ciguatera Shellfish Poisoning?, Clémence M Gatti, H Taiana Darius & Mireille Chinain & Davide Lonati ............................................................................. 19 First report of Gambierdiscus in Moroccan Atlantic waters, Btissam Ennaffah & Karima Chaira ............................. 20 Announcement: PACE-Net+ Think Tank: Coastal ecosystem disturbances, fish and shellfish poisoning and their socio-economic implications .......... 21 ISSHA’s Corner, Vera Trainer .................................................................. 22 First announcement: Scientific Symposium on Harmful Algal Blooms and Climate Change Gothenburg, Sweden, 19-22 May 2015........................... 26 The Impact of Global Change on Toxic Phytoplankton............................ 27 The ICES-IOC Working Group on Harmful Algal Bloom Dynamics (WGHABD).......................................... 27 Twelfth Session of the IOC Intergovernmental Panel on Harmful Algal Blooms (IPHAB-XII), UNESCO, Paris, 28-30 April 2015 ...................... 27 IOC Training Course and Identification Qualification in Harmful Marine Microalgae 2015 (with optional workshops on enumeration and/or culture techniques) ........................................................................................... 27 Eighth Symposium on Harmful Algae in the U.S. ................................... 27 Ciguatera in the South Pacific ................................................................ 28
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.246 | 0.194 |
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".