Patterns in the larval vertical distribution of marine benthic invertebrates in a shallow coastal embayment. A Canadian Healthy Oceans Network Population Connectivity project, PC-06
Bibliographic record
Abstract
Processes during the meroplanktonic phase regulate population dynamics for many marine benthic invertebrates. I examined changes in vertical distribution of different meroplanktonic larvae in a coastal embayment during a stable period, at high temporal frequencies and spatial resolutions. Meroplanktonic invertebrate larvae (Margarites spp., Crepidula spp., Astyris lunata, Diaphana minuta, Littorinimorpha, Arrhoges occidentalis, lyanassa spp., Bittiolum alternatum, Nudibranchia, Gastropods, Bivalves, Bryozoans, Brachyurans, Polychaetes, Carideans, and Asteroids) were collected off boat at 6 depths (3, 6, 9, 12, 18, 24 m) using a pump, every 2-h over a 36- (6-7 Aug 2009) and a 25-h (12-13 Aug 2009) period, during a spring and neap tide, respectively, concurrently with measures of temperature, salinity, fluorescence and current velocity in St. George's Bay, NS, Canada. This dataset was collected in the field (using a plankton pump, CTD, fluorometer and ADCP) for an MSc Thesis and 2 publications. This contains the standardized abundance (count m-3) of meroplanktonic larvae (Margarites spp., Crepidula spp., Astyris lunata, Diaphana minuta, Littorinimorpha, Arrhoges occidentalis, lyanassa spp., Bittiolum alternatum, Nudibranchia, Gastropods, Bivalves, Bryozoans, Brachyurans, Polychaetes, Carideans, and Asteroids), temperature, salinity, density, fluorescence, calculated Richardson number and current velocities (north-south, east-west, and vertical velocities) at 6 (3, 6, 9, 12, 18 and 24 m) depths, every 2 h over a 36- and 26-h sampling period, in St. George’s Bay, Nova Scotia, Canada. This fileset contains metadata, thesis and datasets. These data sets included lunar cycle, diel period, tidal state, date, time, sampling depth, sampling depth range, and more.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".