ICES-PICES-CIESM session: Bioinvasion trajectories and impacts in contrasting marine environments
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Conveners: Henn Ojaveer (Estonia), Cynthia McKenzie (Canada), Thomas Therriault (Canada).CM 2017/B:110. Historical baselines in marine bioinvasions and implications for invasive species management and policy. Henn Ojaveer, Bella Galil, Heidi Alleway, James T. Carlton, Philippe Goulletquer, Maiju Lehtiniemi, Agnese Marchini, Whitman Miller, Anna Occhipinti-Ambrogi, Gregory Ruiz, Anastasija Zaiko, Susan WilliamsCM 2017/B:104. Eyes Wide Shut: Managing Bioinvasions in Mediterranean Marine Protected Areas. Bella GalilCM 2017/B:361. A novel vector of species introduction in the Pacific. Japanese Tsunami Marine Debris. Cathryn Clarke Murray, James. Carlton, Jocelyn. Nelson, Gregory Ruiz, Nikolai Maximenko, Andrew Drake, Claudio DiBacco, Glenn Fowler, Thomas W. TherriaultCM 2017/B:358. The invasion risk of invertebrate species associated with Japanese Tsunami Marine Debris in North America and Hawaii. Thomas. Therriault, Jocelyn C. Nelson, James T. Carlton, Michio Otani, Danielle Scriven, Gregory M. Ruiz, Cathryn Clarke MurrayCM 2017/B:515. Evaluating risks associated with ballast water release by domestic vessels transiting from Canadian temperate to Arctic waters. Kimberly Howland, Kimberly Howland, Nathalie Simard, Sarah Bailey, Frédéric Laget, Pascal Tremblay, André Rochon, Gesche WinkerCM 2017/B:143. The successful invasion and serious impact of the European green crab, Carcinus maenas, in. sub-arctic ecosystem. Cynthia. McKenzie, Kyle MathesonCM 2017/B:132. Genomic tools illuminate fine-scale population structure and dynamics in. highly bottlenecked, recently founded green crab population. Carolyn Tepolt, Ted Grosholz, Cat de Rivera, Greg RuizCM 2017/B:541. Assessing invasiveness with the MER method: bivalve Rangia cuneata case in the Baltic Sea. Greta Srėbalienė, Sergej Olenin, Aleksas NarščiusCM 2017/B:337. Combining environmental niche modeling, source-based vector analysis, and the tool CMIST for. detailed-level risk assessment of Didemnum vexillum in Atlantic Canada. Andrea. Moore,. Ben Lowen, Claudio DiBaccoCM 2017/B:247. Distributional changes in. guild of non-indigenous tunicates in the NW Atlantic under high-resolution climate projections. John Benjamin Lowen, Claudio DiBaccoCM 2017/B:412. Environment regulates the invasive round goby in the Baltic Sea. Kristiina Nurkse, Henn Ojaveer Jonne KottaCM 2017/B:571. Gene diversity, reproductive strategy and success of introduction. the example of Rangia cuneata (Bivalvia: Mactridae) and Neogobius melanostomus (Actinopterygii: Gobiidae). Elena Ezhova, Irina Voroshilova Elena BorovikovaCM 2017/B:463. Temporal changes in phytoplankton biomass: implications for the IMO Ballast Water Convention. Maria Cecilia Trindade de CastroCM 2017/B:335. CMIST: new screening-level risk assessment tool for marine invertebrate species. Claudio DiBacco, David Drolet, Andrea Locke, Cynthia H. McKenzie, Christopher W. McKindsey, Andrea M. Moore, Janis Webb, Thomas W. TherriaultCM 2017/B:102. The ‘Ischia Declaration’. A proposal for management of bioinvasions in the Mediterranean Sea. Bella Galil, Maria Cristina GambiCM 2017/B:590. Benthic impacts of. novel, non-native shellfishery in. marine protected area. Leo J. Clarke, Roger J. H. Herbert, Luciana S. Esteves, Richard A. StillmanCM 2017/B:300. The Suez Canal and Mediterranean marine invasions: media coverage. Agnese Marchini, Bella Galil, Anna Occhipinti-Ambrogi, Henn Ojaveer
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.064 | 0.014 |
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".