Continuing Successful Low Energy Nuclear Fusion Reaction Experiments
Bibliographic record
Abstract
This paper builds on the continuous successful experiments of Low Energy Nuclear Reaction in solids in the Lakehead University’s Semiconductor Research Laboratory. In previous experiments excess heat generation, helium release and correlation between the two have been reported. The current paper aims to investigate the optimal temperature for deuterium-constantan interaction and lead to an increased reaction time and higher generated heat. Three initial temperatures have been tested $-510^{\circ} \mathrm{C}, 527^{\circ} \mathrm{C}$ and $535^{\circ} \mathrm{C}$. Similar reaction patterns have been observed with the first two temperatures and prolonged reaction time with the $\mathbf{5 3 5}^{\circ} \mathrm{C}$ experiment. From this the conclusion was drawn that this is the temperature where there is most energy release. The massspectroscopic analysis of the gases in the experiments confirms the nuclear origin of the released energy.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".