When People Fake their Death. Mystery of Gerry Cotten.
Bibliographic record
Abstract
Story of A dead or missing CEO, Gerald Cotten, CEO of Quadriga CX, the largest Exchange in Canada. Topics: missing ceo dead or alive, the ultimate exit scam, exit scams explained, faking death for cyber crime, exist scams for cyber crime, exist scams explained, why people fake their death, how people change identity, why people change identity, exit scams and fake ids, cyber crime exist scam, did gerald cotten really die, when people fake their death. Come join us this year as we celebrate the 20th anniversary of the importance of cybersecurity awareness month Subscribe to our YouTube Channel for FREE: @Cybercrimejunkiespodcasthttps://www.youtube.com/channel/UCNrU8kX3b4M8ZiQ-GW7Z1yg For more real cybercrime stories, visit our website at https://cybercrimejunkies.com.Don't miss our extension of family at blushingintrovert.com. You will look and feel good and be treated like family and know that any purchase will help a great cause as portions of all proceeds go to support mental health awareness initiatives. Women's sweatshirts, tumblers, stickers, journals, bracelets and more. All in stock. All Handmade. Ready to ship straight to your door. Support the showThank you listening! Don't miss the Video episode!Help us simply by subscribing to our YouTube Channel where you get access to all 130+ episodes and behind the scenes content.It's FREE. It helps us with the algorithm so we can bring you more content. Our YouTube Channel @Cybercrimejunkiespodcasthttps://www.youtube.com/channel/UCNrU8kX3b4M8ZiQ-GW7Z1yg
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) | 0.001 | 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) | 0.413 | 0.004 |
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".