Bibliographic record
Abstract
August 29th,1894. R.W.GILDER, EDITOR. R.U.JOHNSON, ASSOCIATE EDITOR. C.C.BUEL, ASSISTANT EDITOR. John Muir, Esq. Martinez, California. My dear Muir:- I have just said good-bye to our Mr. Drake, superintendent of the Art Department of The Century, who is leaving for Portland and Alaska. He expects to reach Portland on the 7th of September and to take the steamer from Tacoma on the 10th. At Portland he will visit Mr. C.E.S. Wood, late Lieutenant U.S.A. He has with him an artist, also named Drake, who will illustrate your "Alaska Trip," and perhaps make some figure pictures for the "Glacier Bay." I don't suppose you are likely to be going toward Alaska at this time, but if you should be it would be very fortunate for Drake and for the articles. He expects to be later in San Francisco and will let you know of his coming, as I have given him your address. I don't know how much you saw of him here, but he is a gentleman and an excellent fellow and good company. He said something about Yosemite, but I do not know whether he will get there. He will probably return by the southern route, Grand Cañon to I learn that the electric railway has not applied for permission to enter the Yosemite National Park, and that no
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.869 | 0.796 |
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".