2014-03-08 HT Round Robin Poster Banner
Bibliographic record
Abstract
June 10, 2023 @ Arena St. Louis. Home team round robin between teams Blue, Yellow, and Green. Description from Facebook Event Page: ROUND ROBIN 3 Montreal Roller Derby is hosting it's 3rd Round Robin of 2023 and the last one before our (well-deserved!) break! Our three home teams will vye for victory in three games of 20 minutes. Get ready to see the Blue, Yellow and Green Teams give everything they have on the track. SCHEDULE Doors 6PM Game starts 6:30PM TICKETS Adults: 15$ (+ service fee) pre-order, 18$ at the door 6-12 y/o: 5$ 0-5 y/o: Free CASH ONLY: No ATM on site! LOCATION: Aréna St. Louis ROUND ROBIN 3 Montréal Roller Derby présente son 3e Round Robin de 2023! C'est aussi le dernier avant notre pause bien méritée. Nos trois équipes locales rivaliseront lors d'une série de 3 matchs de 20 minutes chacun. Les équipes Vert, Bleu et Jaune vous impressionnerons avec leur prouesse sur la piste. HORAIRE Ouverture des portes à 18h Début du match à 18h30 BILLETS Adultes : 15$ (+ frais de service) en pré-commande 18$ à la porte 6-12 ans : 5$ 0-5 ans : Gratuit CASH ONLY : Pas de guichet automatique sur place ! LIEU : Aréna St. Louis
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.062 |
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".