Using DEMATEL to Draw a Sustainable Performance Model in the Ricinus Communis L. Production System, Bahia - Brazil
Bibliographic record
Abstract
The search for levels of competitiveness among the players in the supply chain is an indispensable condition for innovation in the production services system. One sector that has experienced this dynamic is the supply of energy raw materials for biofuel production. The aim of this study is to propose a relational model of the criteria for the sustainable performance of Common Ricinus L. producers in the region of Irecê - BA. By identifying a set of criteria, the study enables the analysis of multiple dimensions that represent the production system of Ricinus Communis L. The research methodology implemented in the study is based on structural interpretive modeling as a reference model for sustainable performance in supply chain actors. The method used to analyze the relationships and trends between the selected criteria of the Ricinus Communis L. production system was the DEMATEL method. The data used is the result of interviews conducted with experts on the oilseed production system in the Northeast of Brazil, with questions about the cultivation of Ricinus Communis L. Among the findings of this study is the definition of a relational model of the criteria and theoretical frameworks that represent sustainable performance in the supply of raw materials by Ricinus Communis L. for the generation of biodiesel.
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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 | 0.022 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".