효과적인 민간부문 기술혁신 지원을 위한 공공조달시장 제도 개선 방안
Bibliographic record
Abstract
Ⅰ. 서론&nbsp;<br>&nbsp;&nbsp;1. 연구의 배경 및 목적<br>&nbsp;&nbsp;2. 연구의 내용<br>&nbsp;&nbsp;3. 연구방법<br><br><br>Ⅱ. 패스트트랙 I과 패스트트랙 II 제도의 문제점 및 개선방안<br>&nbsp;&nbsp;1. 제도 도입 목적과 현황<br>&nbsp;&nbsp;2. 캐나다의 BCIP(The Build in Canada Innovation Program)<br>&nbsp;&nbsp;3. 주요 선진국의 연구개발 성공제품 조달 정책<br>&nbsp;&nbsp;4. 문제점 및 개선방안<br>&nbsp;<br>Ⅲ. 중소기업제품 인증이 공공조달시장에 주는 효과 분석<br>&nbsp;&nbsp;1. 혁신 촉진을 위한 공공조달제도 소개&nbsp;<br>&nbsp;&nbsp;2. 인증된 중소기업 기술개발제품 거래 현황&nbsp;<br>&nbsp;&nbsp;3. 중소기업 기술개발제품 인증이 공공조달에 미치는 영향 분석<br><br><br>Ⅳ. 결론<br><br>
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".