Bibliographic record
Abstract
Detailed nestling growth records with weather conditions in 2017. Nestlings were measured on day 2, 4, 6, 8, 10 and 12. Column headings are as follows: NestlingID=unique ring Canadian Wildlife Service number identifying individual nestlings, NestID=unique code for each nest, HatchSize=number of hatched nestlings, HatchDate=date most of the nestlings hatched (tree swallows typically hatch synchronously) (Julian date), FledgeDate=date the nest fledged (Julian date), FledgeSuccess=0 if this nestling did not fledge, 1 if it did, whyFail=If the nest failed, lists the cause, either “NESTLINGS DIED” if nestlings were found dead in the nest, or “PREDATION” if no nestlings were found, Renest=lists whether nest was a renest or not. All nests used in this analysis were the first nest of the pair, Mass=nestling body mass (g), Tarsus=nestling tarsus length (mm), Wingchord=nestling wing chord (mm), Age=number of days since hatching (e.g., on the hatch date, age=0), MaxTemp3day=mean value of the maximum daily temperatures during the preceding three days (°C), MeanTemp3day=mean value of the mean daily temperatures during the preceding three days (°C), MeanWindspeed3day=Mean value of the mean windspeed (5:30am-8pm) during the preceding three days (m/s), TotalRainFall3day=total rainfall during the preceding three days (mm), ThermoReg=thermoregulatory strategy employed by nestlings of this age (poikilothermic (0-6 days old), intermediate (7-8 days old), or endothermic (9+ days old))
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.030 |
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".