Systemic Energy Management by Strategically Located Functional Components within Molecular Frameworks, Determined by Systems Chemistry
Bibliographic record
Abstract
A novel concept and, therefore, a novel discipline is defined, wherein molecules are described as frameworks of strategically located functional components within molecular structures, acting in unison to effect efficient energy management. The term "systems chemistry" effectively serves to define the phenomenon of an assembly of atoms and functional groups within a molecule having systemic properties "valued" at more than their component sum. The reduction of NAD+ and FAD is complimented by an enthalpy transfer between organic functional components (aromatic ring, amide and olefinic functionalities), yet the sum of the overall energy values (the total system) remains nearly constant, irrespective of which direction the redox reaction proceeds. From this aspect, both NAD+ and FAD operate as real chemical systems of atoms and functional groups, working together within the individual molecules to store the reaction enthalpy as resonance enthalpy, rather than manifesting it as emitted or absorbed heat. In this way, the thermoneutral reaction of the wet combustion occurring in all living cells is made possible by an internal "cooling process".
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".