ADONIS 206922209100085H Prospects for solar synthesis
Bibliographic record
Abstract
Abstract- Natural sunlight is a powerful source of energy to carry out useful chemical re-actions. Polymers can be designed to control and catalyze important photochemical processes such as "artificial photosynthesis", production of h drogen peroxide, and removal of water contaminants such as polynuclear aromatics (€"A's7 and polychlorinated biphenyls (PCB's). This paper describes preliminary explorations of ways to use the world's most abundant source of energy to power novel chemical processes by employing simple polymeric devices. Canada is a very large, cold country and Canadians have the dubious distinction of using more energy per capita than any other country in the world; and it is not just because of that cold climate. It is primarily due to the size of our vast country that stretches nearly 5000 miles from one side to the other and three thousand miles north and south. A large part of our energy budget is used in transportation, and as you probably know, the world is beginning to run out of the natural resources that sustain our industrial and technological society. The native people in Canada lived here for more than 10,000 years in a very creative relationship with their environment. Their energy systems were essentially all solar driven, that is, they used animals and plants, plants being the primary converter of solar energy and animals the secondary ones, and were able to survive without infringing on the environment in any ap-
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.445 | 0.261 |
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".