Identify and Rank the Barriers to Technology Transfer - Analytic Hierarchy Process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transfer of technology as an inevitable necessity has been interested by scientific directors and executive directors in the past two decades. Obstacles facing this transition in modern countries (developed) in the countries such as Iran is considered significantly. This study is a descriptive survey, and applied in term of purpose. The purpose of this study is to identify and rank the barriers to transfer technology in Iran.Mentioned study uses literature research and expert opinions gathered through interviews and questionnaires, to identify high-impact barriers and has prioritized the major obstacles to transfer technology through the use of hierarchical analysis. The results show that technical, human, organizational information barriers were the most important barriers to transfer technology in Iran and technical barriers, in the infrastructure; in human barrier, managerial skills, the obstacle information, cost information and ultimately organizational barriers, have created the challenges.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it