Microbial ecosystem responses to rapid climate change in the Arctic
Bibliographic record
Abstract
Galand PE, Lovejoy C, Pouliot J, Garneau ME, Vincent WF . (2008). Microbial community diversity and heterotrophic production in a coastal Arctic ecosystem: a stamukhi lake and its source waters. Limnol Oceanogr 53 : 813–823 Article Google Scholar Grebmeier JM, Overland JE, Moore SE, Farley EV, Carmack EC, Cooper LW et al . (2006). A major ecosystem shift in the northern Bering Sea. Science 311 : 1461–1464 Article CAS Google Scholar Jungblut A, Lovejoy C, Vincent WF . (2010). Global distribution of cyanobacterial ecotypes in the cold biosphere. ISME J 4 : 191–202 Article CAS Google Scholar Kirchman DL, Morán XAG, Ducklow H . (2009). Microbial growth in the polar oceans—role of temperature and potential impact of climate change. Nature Rev Microbiol 7 : 451–459 Article CAS Google Scholar Laurion I, Vincent WF, MacIntyre S, Retamal L, Dupont C, Francus P et al . (2010). Variability in greenhouse gas emissions from permafrost thaw ponds. Limnol Oceanogr 55 : 115–133 Article CAS Google Scholar Li WKW, McLaughlin FA, Lovejoy C, Carmack EC . (2009). Smallest algae thrive as the Arctic Ocean freshens. Science 326 : 539 Article CAS Google Scholar Post E, Forchhammer MC, bret-Harte MS, Callaghan TV, Christensen TR, Elberling B et al . (2009). Ecological dynamics across the arctic associated with recent climate change. Science 325 : 1355–1358 Article CAS Google Scholar Schuur EAG, Vogel JG, Crummer KG, Lee H, Sickman JO, Osterkamp TE . (2009). The effect of permafrost thaw on old carbon release and net carbon exchange from tundra. Nature 459 : 556–559 Article CAS Google Scholar Screen JA, Simmonds I . (2010). The central role of diminishing sea ice in recent Arctic temperature amplication. Nature 464 : 1334–1337 Article CAS Google Scholar Veillette J, Mueller DR, Antoniades D, Vincent WF . (2008). Arctic epishelf lakes as sentinel ecosystems: past, present and future. J Geophys Res—Biogeosciences 113 : G04014 Article Google Scholar Vincent WF . (1988). Microbial Ecosystems of Antarctica . Cambridge University Press: Cambridge UKpp304 Google Scholar Vincent WF, Whyte LG, Lovejoy C, Greer CW, Laurion I, Suttle CA et al . (2009). Arctic microbial ecosystems and impacts of extreme warming during the International Polar Year. Polar Science 3 : 171–180 Article Google Scholar Download references
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".