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Bibliographic record
Abstract
Can the human mind interact directly with objects, inanimate or living? Preliminary experiments performed by Dr. Larissa-Emilia Cheran at the Biosensors Laboratory, University of Toronto have shown a strong influence of human intention on cultures of neuron cells, grown on the surface of high-sensitivity sensors vibrating at 9 MHz frequency. The TSM sensor (Transverse Shear Mode Sensor) is a quartz crystal in which transverse shear mode oscillations are induced using 2 gold electrodes plated on the surfaces of the quartz crystal. The shifts in resonant frequency and motional resistance at the interface with the neuron cells are measured with high resolution and accuracy. Based on these results, future research directions are proposed.
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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 | 0.027 | 0.246 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.024 | 0.013 |
| Insufficient payload (model declined to judge) | 0.072 | 0.040 |
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".