Additional file 3 of Wearable reproductive trackers: quantifying a key life history event remotely
Bibliographic record
Abstract
Additional file 3: Validating the methodology using males and immature birds. Figure S5. Breeding classifications of male and immature GWfG during the breeding season plotted against the average daily ODBA values. The dashed line represents the 95th quantile of average daily ODBA values for incubating days, determined using a set of known breeders. Below this value days are given a score of 2 (see main text). (PIFO47, UCOL35, UCOL37 and UCOL40 are males. 17812 was an immature). Figure S6. Breeding classifications of male and immature GWfG during the breeding season plotted against the distance between successive median daily locations (DDIST). The dashed line represents the 95th quantile of DDIST values for incubating days, determined using a set of known breeders. Below this value days are given a score of 2 (see main text). (PIFO47, UCOL35, UCOL37 and UCOL40 are males. 17812 was an immature). Figure S7. Breeding classifications of male and immature GWfG during the breeding season plotted against daily median net squared displacement (ND). The dashed line represents the 5th quantile of ND values for not incubating days, determined using a set of known breeders. Below this value days are given a score of 2 (see main text). (PIFO47, UCOL35, UCOL37 and UCOL40 are males. 17812 was an immature)
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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.717 | 0.152 |
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".