Dataset for: “Shifts in habitat use and demography of American lobsters in coastal Maine (USA) over the past quarter century”
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
This is the dataset for the manuscript "Shifts in habitat, habitat use, and demography of American lobsters in coastal Maine over the past quarter century." Our study revisited 20 long-term monitored sites at 10 m depth along more than 320 km of the Gulf of Maine. Sampling used quadrat sampling via scuba divers. We recorded fundamental changes in lobster habitat use and distribution. The data include count, size, sex, number of claws, and shelter use of lobster in addition to substrate type, percent cover of kelp and other macroalgae. The data are included in six .csv format files: (1) data from 1993-1995, (2) 1996-2000, (3) 2019, (4) 2021, (5) study site locations revisited in 2019 and 2021, and (6) metadata describing the other files. Zipped folder containing datafiles is found in “Additional Files” at DigitalCommons@UMaine.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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