Inhibition in Proper Ser and In Plcγ2 Synthesis Are the Main for Causing Osteoarthritis, Diabetes, and C-Lymphocytic Leukemia Diseases
Bibliographic record
Abstract
Proper S6K /BTK and PLCγ2 synthesis (which regulated by Ser phosphorylation pathway) are main regulations for thromboxane-A “TXA2” synthesis, and necessary for B-cell maturations and T-cells modulations and functions. The main reasons for causing Osteoarthritis “OA” and diabetes diseases (that are linked together) are the deficiency of Ser amino acids and decreasing of Ser phosphorylation signalling pathway which necessary for proper S6K productions, where normally the Ser phosphorylation signalling pathway is the basis of Ser /Thr phosphorylation signalling and is necessary for proper Akt, S6K1 synthesis and necessary for RORs and IFNs synthesis and also necessary for running proper BTK for PLCγ2 productions , where S6K is main regulator for ATPase and for proper PLCγ1 and for PLCγ2 synthesis which necessary for bone growth and for modulating immune efficiency. Osteoarthritis “OA” is characterized by a sharp expression in Gamma-Phospholipase C-1 “PLCγ1”, with decreasing “or inhibition” in PLCγ2 “PLC beta” productions due to inhibition or mutation in S6K and then in BTK. The increasing in PLCγ1 with Deficiency in Ser amino acids will lead to deficiency in Ser phosphorylation signalling, and decreasing in synthase activity that will reflect down regulations in BTK pathways and lead to inhibition in PLCγ2 productions which will reflect diabetes (inhibition in Estrogen with the production of Androgen instead of estrogen) and can reflect Osteoarthritis “OA” prognosis depend on the percentage of Deficiency or inhibition in basic amino acids and its basic necessary signaling pathways.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".