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Record W7068371072

Epic Diapers 45

2013· other· en· W7068371072 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2013
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEPICBattleClass (philosophy)Transfer (computing)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Epic Diapers #45 - Cheap-Ass-Fast Leveling Blizzard has a pretty sexy sale going on right now, and if you’ve ever thought about getting alts up to 80 or 85 quickly and cheaply, or just fooling around with dual-boxing, now’s the time to give it a try. The Battle Chest is only $4.99. This gives you every expansion through Cataclysm, and you get 30 days of free game time, which is a $15 value in itself! After laying down a measly 5 bucks, send your second account a recruit a friend invitation through the in-game menu. I’d suggest dual boxing with the same class for simplicity, but that’s up to you. Next, group up your new level ones and start questing up to level 80 with your triple experience, and as an FYI, heirloom experience boosts stack as well. This is easily accomplished in less than 20 hours of gameplay, and if you do that within your free month of gametime, try as many pairs as possible before your 30 days expire. Then you can transfer your level 80 over to your main account if you don’t want to keep 2 accounts acitve, or you can let the account go dormant and wait for a transfer service sale, as it is a steep $25 normally. But before you do that, be sure you grant levels from your new account to low-level toons on your old account. Now, while it’s true that the new expansion will give you one free boost to 90, it’s unclear if you’ll be able to purchase additional boosts, or if Blizzard will limit boosted level 90 transfers for players who buy multiple copies of the expansion. Until then, have fun dual boxing alts. Of course, it is the holiday season, so you could always buy this for your significant other so that now the both of you can fight over who gets to put the kids to bed on raid night!

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.302
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3140.011

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.

Opus teacher head0.004
GPT teacher head0.177
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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