FIRST BREEDING RECORD OF THE EARED GREBE IN SONORA, MEXICO
Bibliographic record
Abstract
The Eared Grebe (Podiceps nigricollis) is the most widespread and abundant grebe worldwide, with a distribution that includes Asia, Africa, Europe, and North America. In North America, the species breeds widely through the western and central United States and southern Canada. There is also a small, disjunct, and poorly known breeding population in the highlands of the volcanic belt of central Mexico (Wilson et al. 1988). Away from this population, breeding in Mexico is sporadic, with scattered records from Chihuahua, Nayarit, Jalisco, and Puebla (Dickerman 1969, Williams1982). A former breeding population in Baja California had been presumed extirpated (Huey 1928, Cullen et al. 1999), but recently breeding has been documented annually in Mexicali (Erickson et al. 2011, Mellink and Hinojosa-Huerta 2018). In Sonora, there are infrequent summer records but no previous breeding records (Russell and Monson 1998; eBird.org).
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".