Rhythmic properties of three soundtypes of mediterranean vocal fish
Bibliographic record
Abstract
The dataset comprisses the raw data of the project "A primer on rhythm quantification for fish sounds: a Mediterranean case study". Three soundtypes of common vocal fish of the mediterranean were recorded via passive acoustic monitoring (PAM) and the sequences checked for rhytmicality with rhythm analysis. We have sequences for the following three sounds: R-pattern calls of Sciaena umbra (the brown meagre), /Kwa/ calls emitted by Scorpaena spp. and calls of Ophidon rochei males. Time stamps of the analysed sound sequences are given, namely the start and the end of sounds, the correpsonding sequence and filename. Furthermore the analysed parameters are reported: IOIs (Inter-Onset-Intervals, Interval between start of one sound element and the next sound element), Coefficient of variation, normalized pairwise Variability index, exact beat frequency in Hz for IOI analysis and Fourier analysis. One sequence is uttered by one individual. Individual ID is unknown.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".