Characterization of Northern Gulf of Mexico Deepwater Hard Bottom Communities with Emphasis on <i>Lophelia</i> Coral - <i>Lophelia</i> Reef Megafaunal Community Structure, Biotopes, Genetics, Microbial Ecology, and Geology (2004–2006)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Define species composition, diversity, and numerical dominance of fishes and mobile megafaunal invertebrates on Gulf of Mexico Lophelia reefs and associated biotopes. 2. Define and compare mobile megafaunal, infaunal macrofaunal, and meiofaunal biotope affinities, population densities, biomass, diversity and population dispersion for the Lophelia reef biotope, other reef-associated biotopes, and comparative non-reef biotopes (e.g., the soft-substrate biotope of the surrounding open slope biome
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it