Evaluation of Sensus Data Logger for Use in Operational Dive Data Collection
Bibliographic record
Abstract
Naval Sea Systems Command (NAVSEA) tasked the Navy Experimental Diving Unit (NEDU) to identify and evaluate candidate devices that divers can carry to electronically record their depth!time profiles and that can be suitable for collecting operational dive data. One such candidate device, called a data logger (DL) to signify its purpose in logging dive data, is the Sensus (ReefNet Inc.; Mississauga, Ontario). With emphasis on its depth accuracy, NEDU tested the Sensus for use in collecting operational dive data. Thirty DLs were dived twice to a depth of 200 feet of seawater (fsw), with stops at decades of depth on both descent and ascent. Analysis of the results show that all Sensus depth readings appeared to be within the i2 fsw depth accuracy desired. The depth readings were also highly reproducible across all DLs and could be corrected to an accuracy of about +i fsw, the accuracy of the test chamber system. The Sensus data logger appears suitable for collecting operational dive data on dives in a approximately 200 ftw or shallower.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".