Lucky carrot: Alberta woman finds mother-in-lawâs lost ring
Bibliographic record
Abstract
Her daughter-in-law, Colleen Daley, found the ring while harvesting carrots for supper with her dog Billy at the farm near Armena, Alberta, where Grams used to live. The farm has been in the family for 105 years. An engagement ring missing for 13 years is back on the finger of its owner...after being found wrapped around a carrot...Mary Grams lost the ring while she was weeding a garden on the family farm in Alberta, Canada......and told C-T-V, she remembers exactly when she lost it...She says she can't believe she's wearing it again after searching so long with no luck...Grams says she never told her husband she lost it...he died five years ago.The ring was found when Grams' daughter was pulling carrots to have for dinner...She said she thought one of them looked weird but took it anyway...after rinsing the dirt off, she saw the carrot grew through and around the ring.Grams says she feels relieved and happy inside.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.081 | 0.013 |
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".