Bibliographic record
Abstract
早在年初的E3大展中,《分裂细胞》就获得了官方颁发的“最佳动作/冒险游戏”奖项。这部由UbiSoft的Montreal工作室负责开发的游戏在欧美号称全面超越了《合金装备2》,看来我们没有理由不来关注一下这款XBOX/PC双平台的游戏大作了。喜欢《合金装备》类型游戏的玩家们一定在期盼它的到来吧?我虽然盼望了很久,但是直到最近才有时间玩,现在写攻略但是如果你想将《分裂细胞》和《合金装备》作一个谁优谁劣的比较,我觉得你大可不必这样,因为这两款脍炙人口的大作是隶属两种不同的风格,他的形成也是由两种不同的文化背景和主流思想所孕育的,大家不必为此争得面红耳赤,凡游戏必有优点和不足,以已之长比他人之短并不是个让人信服的举措!
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".