Parameters for selecting biological features in multifunctional bio-inspired design: a convergent evolution approach
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
Combining different biological features exhibiting different functions is necessary to generate uncommon and unique multifunctional bio-inspired conceptual designs. Different biological features independently evolve characteristics to solve the same need/necessity. This phenomenon is called convergent evolution. Without parameters, selecting a suitable feature from those that exhibit the same function and have the same geometric relevance becomes quite difficult. This research investigates and identifies the parameters that have the potential to support choosing the suitable biological feature and to support the multifunctional design concept generation. In this paper, parameters are hypothesized by studying the mechanisms of tissue formation responsible for generating structural features in a biological system. These parameters are used in the Expandable Domain Integrated Design (xDID) ideation model to aid designers in choosing and combining suitable biological features for multifunctional concepts. A case study is presented to validate the effectiveness of the parameters in the selection process
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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