Bibliographic record
Abstract
Trogolemur leonardi (Storer, 1990) Type. Right upper second molar, RSM P1899.1007. Horizon and type locality. Channel sands and gravels of the mid-to-late Eocene age along the east side of Lac Pelletier, southwestern Saskatchewan, Canada (Storer, 1983, 1987, 1996). Revised diagnosis. Teeth 30-40% larger in linear dimensions than Trogolemur myodes; upper molars broader relative to length, more distinct and larger protocone lobe, smaller metaconule, more distinct lingual cingulum, more reduced metacone on M3; lower molars less exodaenodont with less pronounced buccal cingulum; m3 protoconid and metaconid closer to each other; m3 hypoconulid lobe narrower. Differs from Trogolemur amplior in being significantly smaller; notch buccal to the entoconid and distinct break in cristid obliqua on m1/m2. Differs from Trogolemur fragilis in being significantly larger; m3 protoconid and metaconid closer to each other. Hypodigm. LM1, RSM P1899.1005; RM1, RSM P1899.1006; LM3, RSM P1899.1014; RM3, RSM P1899.1016; Lm1 or m2, RSM P1899.1002; Rm1 or m2, RSM P1899.1003; Rm1 or m2, RSM P1899.1004; Rm1 or m2, RSM P1900.51.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.011 |
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".