POD! Fish- DFG North Bay Aqueduct Larval/juvenile fish sampling March-July (1992-2004)
Bibliographic record
Abstract
Name of study: North Bay Aqueduct Survey Program element: 096 Program manager: Kevin Fleming, kfleming@delta.dfg.ca.gov Project Lead: Michael Dege, mdege@delta.dfg.ca.gov Agency: Department of Fish and Game, Bay Delta Division Address: 4001 North Wilson Way, Stockton, CA 95205 Phone: (209) 948-7800, Fax: (209) 946-6355 Purpose/Objective: This survey has two major foci: 1) Estimate and evaluate larval delta smelt loss at the State Water Project’s North Bay Aqueduct (NBA) due to entrainment and 2) Monitor abundance and distribution of larval delta smelt in the Cache Slough Complex and near Prospect Island. Prospect Island is a CALFED habitat restoration site and this sampling is used to evaluate whether delta smelt would use this site for spawning habitat. Future restoration of Prospect Island will warrant additional monitoring stations. The presence of delta smelt larvae in Barker Slough (Part of the Cache slough complex leading to the NBA) is a criterion for restrictions on NBA pumping. The 1995 Delta Smelt Biological Opinion mandates monitoring at the three Barker Slough stations in Barker Slough and the surrounding areas on a "recent-time" (within 72 hours) basis, posting delta smelt information on the world wide web so that interested parties may use this information for water management decisions. Data collected: Water temperature, surface electro-conductivity, water transparency, water volume sampled, tidal stage, sample time, tow depth, bottom depth, and fish catch. Geographic range of field work: Northern Sacramento-San Joaquin Delta. Number of sites: Eight stations. Period of record (start year): 1995. Size for complete data base for program element in KB (MB): 10+ megabytes. Number of individual files: One file or database contains all data.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.358 | 0.132 |
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".