Publisher Correction: Species richness and identity both determine the biomass of global reef fish communities
Bibliographic record
Abstract
Authors and Affiliations Tennenbaum Marine Observatories Network and MarineGEO Program, Smithsonian Environmental Research Center, Edgewater, MD, 21037, USA Jonathan S. Lefcheck & J. Emmett Duffy Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia Graham J. Edgar, Rick D. Stuart-Smith & Scott D. Ling Department of Ocean Sciences, Memorial University of Newfoundland, St. John’s, NF, A1C 5S7, Canada Amanda E. Bates Department of Biology, University of Victoria, Victoria, BC, V8P 5C, Canada Amanda E. Bates Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, CH-8092, Zürich, Switzerland Conor Waldock Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland Conor Waldock Department of Marine Science, The University of Texas at Austin, Marine Science Institute, Port Aransas, TX, 78373, USA Simon J. Brandl School of Marine Studies, The University of South Pacific, Laucala Bay Road, Suva, Fiji Islands Stuart Kininmonth Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, 04544, USA Douglas B. Rasher Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada Aneil F. Agrawal Authors Jonathan S. Lefcheck View author publications You can also search for this author in PubMed Google Scholar Graham J. Edgar View author publications You can also search for this author in PubMed Google Scholar Rick D. Stuart-Smith View author publications You can also search for this author in PubMed Google Scholar Amanda E. Bates View author publications You can also search for this author in PubMed Google Scholar Conor Waldock View author publications You can also search for this author in PubMed Google Scholar Simon J. Brandl View author publications You can also search for this author in PubMed Google Scholar Stuart Kininmonth View author publications You can also search for this author in PubMed Google Scholar Scott D. Ling View author publications You can also search for this author in PubMed Google Scholar J. Emmett Duffy View author publications You can also search for this author in PubMed Google Scholar Douglas B. Rasher View author publications You can also search for this author in PubMed Google Scholar Aneil F. Agrawal View author publications You can also search for this author in PubMed Google Scholar Corresponding author Correspondence to Jonathan S. Lefcheck .
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 | 0.067 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.141 | 0.069 |
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".