Abstracts for Presentations without Summary Papers
Bibliographic record
Abstract
The Snohomish Public Utility District of Washington State is applying for permits to install up to two in stream tidal turbines in Admiralty Inlet, Washington State, as part of a pilot project to determine the feasibility of marine tidal energy generation.To inform the permitting process, acoustic recordings from a vertical hydrophone array were made in Admiralty Inlet as Southern Resident killer whales transited through the study site to determine depth of whales in this area.The vertical array consisted of four hydrophones at ten meter offsets with the shallowest at a depth of 10 meters.A total of 682 calls and echolocation clicks were localized using hyperbolic localization techniques.The Time O f Arrival Difference (TOAD) was calculated using cross correlation techniques for all calls and click trains.TOAD values were calculated for individual clicks by hand picking the times of arrival.Where present, surface reflections were also incorporated into the localizations of single clicks.We validated our techniques by generating signals at known depths (10 to 60 meters) and distances (100 to 500 meters).Measurement errors were calculated for each localization.Results of the validation study, error estimates, and depth measurements will be presented.Fine-scale 3-D tracking of fish behavior in Central California using acoustic tags Samuel Johnston, Tracey Steig & David Ouellette Micro-acoustic tags have been used to monitor the fine-scale three-dimensional behavior and survival of fish and other aquatic life in the Pacific Northwest and Central California for years.Three-dimensional tracks are obtained at dams, lakes, open rivers, estuaries, and in marine environments.Resolution of three-dimensional positions are sub-meter with some resolutions as fine as 20 cm.In addition to juvenile and adult salmonids, other species tracked include eel, lamprey, sturgeon, shad, crab and shrimp.Salmonid smolts as small as 92 mm have been tagged and tracked with acoustic tags, which weigh as little as 0.5 g.Today's acoustic tag technology allows researchers to view fish behavior and passage in real-time.Tags operated at 307 kHz with a user-specified pulse width of 0.5-5 msec.Recent innovations include the development of smaller tags weighing 0.5 g in air, longer life tags, remote access via smart-phone, as well as various data display options.A number of advances in the analysis methods, techniques and software have been made over the past several years.Some of these improvements include the development of various fish density algorithms and advances of three-dimensional animation programs.Three-dimensional tracks of fish approaching various structures will be presented.Examples of fish tracks and fish densities will be superimposed over bathymetry, water velocities and structures.Recent Sacramento-San Joaquin River examples will be featured. Ocean Acoustic Inversion Bayesian model selection using evidence computations
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.808 | 0.719 |
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".