The Index Research on Technical Innovation Ability of the Coal Enterprise Based on SEM
Bibliographic record
Abstract
The coal industry is our country important energy production industry, its technical innovation ability has the important influence on the national overall technical level and the competitive power. But our country coal production and the applied technical are quite backward, the speed of technical innovation is quite slow, therefore, appraising the technical innovation ability level of the coal enterprise correctly to discover its superiority and the insufficiency has the important strategic and practical significance for promoting the construction of technical innovation ability of our country coal enterprise. This article takes the structural equation model as a foundation. It calculates 5 dimensions’ path coefficient and various items’ loading coefficient of technical innovation ability of the coal enterprise to obtain the model of technical innovation ability index. The paper gives the general reference value of technical innovation ability index of the coal enterprise in order to helping the coal enterprise to appraise its technical innovation ability and discovering its superiority and the insufficiency to propose the corresponding countermeasure and suggestion. Key words: Coal enterprise; Enterprise technical innovation ability; Enterprise technical innovation ability index; SEM
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".