Evaluation of the Influence of Faradarmani Consciousness Field on Viral Growth
Bibliographic record
Abstract
Taheri Consciousness Fields are non-material and non-energetic Fields with the ability to have reproducible effects in laboratory and experimental environments. Previous studies related to studying the effects of Faradarmani Consciousness Field (CF) on plant characteristics and animal disease models reveal that Faradarmani CF functions in optimizing the system under study. Significant effects of Faradarmani CF on bacterial and cellular population growth led us to investigate the effect of Faradarmani CF on viral titer. For this, we stratified various viruses into enveloped or non-enveloped as well as DNA and RNA types. This study aims to assess the influence of Faradarmani CF on four types of virus combinations using the TCID50 assay. We tested the effect of Faradarmani CF on pre-determined titers of selected viruses and found that Faradarmani CF changed the viral titers by 0.4 to 1.85 logs compared to the control group. As the results suggest, the physical structure of the viruses and their genome type have notable effects on their response to Faradarmani CF.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".