Record setting carp caught in Vermont
Bibliographic record
Abstract
A 10-year-old who reeled in a giant carp says he knew it was a record contender before he ever got it ashore. The biggest carp ever caught in Vermont weighs in at an impressive 33 and a quarter pounds. And a ten year old boy reeled him in.Chase Stokes' fish is a state record in Vermont, a full quarter-pound bigger than the previous record holder.The Rutland Herald reports (http://bit.ly/2vE7GQE) the carp was weighed at a bait and tackle shop in New York in April. The Vermont Fish & Wildlife Department made the record official last month.Stokes says he likes fish for carp because they're hard to find."It's not the first big fish Stokes' caught. The Vermont Fish & Wildlife Department says Stokes has landed the most trophy fish in Vermont's Master Angler Program."
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.014 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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; both teacher heads agree on what is shown here.
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".