Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Comedy Central Sports Presents Battlebots Season 2.0 Filmed in the All-American Sportpark in Las Vegas Nevada. Presented By Sean Salisbury, Bil Dwyer, Heidi Mark, Jason Sklar, Randy Sklar, Bill Nye The Science Guy and Mark Beiro. Competitors: Mecha Tentoumushi Evil Fish Tank Bigger Brother Mauler 51-50 Snake War Machine Toe-Crusher No Tolerance III Vlad The Impaler Mjolnir Buddy Lee Don't Play In The Street Turbo Jay Leno's Chinkilla Ginsu Panic Attack 3 (PA3) Frenzy Suicidal Tendencies Killerhurtz Golddigger Scrap Daddy LW55 Overkill Frostbite Sallad Mouser Mecha Cat-bot Voltronic Complete Control Super Chiabot Minion Atomic Wedgie Tripulta Raptor Kegger Blade Runner Scrap Daddy MW110 The Master Subject To Change Without Reason Afterthought 2.0 Nightmare Revision Z Ronin Rammstein Bad Attitude El Diablor Backlash Doall Beta Raptor The Crusher Graymatter SABotage Ankle Biter Punjar Mortis Circuit Breaker Decimator Dreadbot Iron Eagle Blendo Gammatron Scrap Daddy HW210 Surgeon General M.O.E. (Marvel Of Engineering) Kill-O-Amp Technofool Bender Instigator Space Operation Force 2 Blue Streak Liquid Lunch Kenny's Revenge World Peace Doom Of Babylon Serial Bot Killer Sublime 2 Dr.Inferno Jr. Das Bot Shish-Ka-Bot Fang Green Dragon Scrub and The Winners: Ziggo Spaz Diesector Biohazard Hammerhead Deadblow Toro Tazbot Filmed in 2000 Broadcast in 2001 on Comedy Central USA, BBC TWO UK, Comedy Network Canada and Prime TV New Zealand.
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.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.065 | 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 it