Bibliographic record
Abstract
Six Man Tag Team Match The Rascalz (Trey Miguel, Wes Lee & Zachary Wentz) vs. No Quarter Catch Crew (Charlie Dempsey, Myles Borne & Tavion Heights) Singles Match Matt Hardy vs. JDC Singles Match Mike Santana vs. Jake Something TNA World Tag Team Title Match The System (Brian Myers & Eddie Edwards) (c) vs. ABC (Ace Austin & Chris Bey) TNA Digital Media Title / International Heavyweight Title Match AJ Francis (w/Rich Swann) (c) vs. PCO TNA Knockouts World Title Match Jordynne Grace (c) vs. Ash By Elegance (w/George Iceman) TNA X-Division Title Match Mustafa Ali (c) vs. Mike Bailey TNA World Title Six Way Elimination Match Moose (c) vs. Frankie Kazarian vs. Nic Nemeth vs. Josh Alexander vs. Steve Maclin vs. Joe Hendry
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) | 0.829 | 0.018 |
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".