Bibliographic record
Abstract
A. H. SELLERS 2420 MICHIGAN AVE. CHICAGO Jan'y 11th 1902. My dear Mr. Muir:- Altho' I had bought your last book, "Our National Parks", and read much of it, and had bought several other coppies to give to friends, we were greatly pleased to receive a copy from you, for it showed us that you thought of us. Wife and I value very highly the expressions of affection you have inscribed on the fly leaf. I have enjoyed the book, so far, very much, and expect to derive a great deal more pleasure, and instruction from it, for it is one of those books that can be read with enjoyment and profit over and over again. A few days after its arrival, Mrs. Sellers was taken down with another attack of pneumonia. We took it in time this time, and so prevented it from becoming so seious as the last attack she had. She is now up and about, but not feeling very strong, and only went out of the house yesterday for the first time. While she was ill I took a very bad cold which resulted in bronchitis, from which I am now just recovering. We had planned to go to California again this winter, but Mrs. Sellersmother, who is at our house, has had several attacks that indicate paralysis,and my wife does not want to go so far away from home. Mrs. Hancock is 79years old, so that these attacks are serious, and greatly alarm the family.Should she improve in health enough to warrant it, we may possibly come outlater, and spend our time in central California, San Jose, Monteray &c, andreturn home by the Canadian Pacific. It will all, however, depend upon Mrs. Hancock's condition. 02938
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.907 | 0.898 |
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".