Assembly Modeling For Plan Generation And Dfa Analysis
Bibliographic record
Abstract
: Assembly is the state when a product really comes to life and is able to function; a product achieves its functionality by the concerted efforts of its components. Assembling consists of the act of putting two or more components together; but behind the scenes work includes many activities necessary to realize a complete product, repair it, disassemble it for recycling or disposal and so on. During the past two decades or so, several methodologies -- graph theory, matrix algebra, knowledge-based, object-oriented, etc. -- have evolved for the modeling of assemblies. Each method has its own merit; but the suitability and practicality of a method often depends on the computer hardware capability and the state of available software language features (expression capability and libraries). Generally speaking, the modeling of assemblies involves a two step process: component relationship modeling and detailed CAD modeling. Product designers use the components relationship models, often inf...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".