Bibliographic record
Abstract
浙江广电集团800m^2演播厅是1993年建造完成的大型电视节目专业制作场所。由于使用时间较长，演播厅视音频系统及灯光系统设备老化，技术指标下降，设备故障较多，老式演播厅空间结构也不利于现代电视节目舞美场景表现，浙江广电集团于2005年7月开始演播厅整体改造，经历了方案设计论证、旧设备拆除过渡、新系统安装调试，于2006年2月完成整个演播厅新系统的技术设备改造工程，并于完成当月顺利地录制了集团《（2006本塘春晚》大型综艺节目。2007年底，由浙江省广电局技术处组织了800m^2演播厅改造项目的整体验收＋得到一致肯定＋标志着800m^2演播厅技术设备改造工程的顺利完工。
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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 | 0.000 | 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) | 0.001 | 0.000 |
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".