Marine foodwebs from end-to-end and back again, a theme session in honor of John Steele
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Conveners: Jeremy Collie (USA), Manuel Barrange (Italy), Mariano Koen-Alonso (Canada).CM 2017/G:433. Examining Hypotheses for Multiple Episodic Collapse of the Barents Sea Capelin Stock. Edvin Fuglebakk, Natoya Jourdain, Samuel SubbeyCM 2017/G:513. Understanding large-scale dynamics of shelf ecosystems from end-to-end - the importance of physical context. James J Ruzicka, Kenneth H Brink, Dian J Gifford, Frank BahrCM 2017/G:473. Comparing Marine Food Webs from the Bottom Up. Jeremy Collie, Sarah Gaichas, Jim Ruzicka, Tosca BalleriniCM 2017/G:523. Role of Gulf Menhaden in the Structure and Functioning of the northern Gulf of Mexico Ecosystem. Matthew A Nuttall, Elizabeth A BabcockCM 2017/G:266. Challenges to fisheries management due to stock recovery. Rob van Gemert, Ken Haste AndersenCM 2017/G:363. Using satellite derived size-fractionated primary production to estimate fisheries production potential in Large Marine Ecosystems. Kimberly Hyde, Michael FogartyCM 2017/G:276. Recent decline in primary production in the North Sea with bottom-up effects on zooplankton and fisheries demonstrates the needfor end-to-end modelling approaches. Georg H. Engelhard, Christopher P. Lynam, David Stephens, Jon Barry, Rodney M. Forster, Naomi Greenwood, AbigailMcQuatters-Gollop, Tiago Silva, Sonja M. van Leeuwen, Elisa CapuzzoCM 2017/G:664. Global fish biomass and production estimates from food web models. Simon Jennings, Julia L. Blanchard, Kate CollingridgeCM 2017/G:349. Marine production in shelf ecosystems: Implications from bottom-up regulation in a changing environment. Mariano Koen-Alonso, Michael Fogarty, Pierre Pepin, Robert GambleCM 2017/G:584. Linking observed changes to the base of the food web and regime shift-like changes in fish production on the US northeastcontinental shelf. Ryan E. Morse, Kevin D. Friedland, Michelle Tomlinson, Howard Townsend, Ron Vogel, Jason LinkCM 2017/G:253. Variability and stability in predation landscapes: a cross ecosystem comparison on the potential for predator control in temperatemarine ecosystems. Kiva L. Oken, Timothy E. Essington, Caihong FuCM 2017/G:142. Revisiting functional responses: Insight from a multi-guild, Bayesian approach for the NW Atlantic. Brian E. Smith, Laurel A. SmithCM 2017/G:234. Using the end-to-end model Atlantis to test the performance of Ecopath with Ecosim. Erla Sturludottir, Gunnar Stefansson
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".