Bibliographic record
Abstract
<p>Set against the background of 1930s England, Jewel of the Thames introduces Portia Adams, a budding detective with an interesting - and somewhat mysterious - heritage.Nineteen-year-old Portia Adams has always been inquisitive. But when her mother dies, Portia can't figure out why she was left in the care of the extravagant Mrs. Jones. She doesn't have long to dwell on it before she is promptly whisked from Toronto to London by her new guardian. Once there Portia discovers that she has inherited 221 Baker Street - the former offices of Sherlock Holmes and Dr. Watson.Portia settles into her new home and finds herself entangled in three cases, the first involving stolen jewelry, the second a sick judge and the final case revolving around a missing child. But the greatest mystery of all is her own. How did she come to inherit this townhouse? And why did her mother keep her heritage from her? Portia has a feeling Mrs. Jones knows more than she's letting on. In fact, she thinks her new guardian may be the biggest clue of all.</p>
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 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) | 0.007 | 0.000 |
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 teacher head, 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".