Research Boundaries
DT4H models longitudinal systems; it does not convert hypotheses into clinical claims.
Research boundaries keep computational inference, cohort modeling, calibration logic, and validated outcomes explicitly separated.
Research boundaries diagram #
HYPOTHESISResearch QuestionLongitudinal pattern · cohort behavior · calibration logic
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MODELDT4H EvidenceSignals · reference priors · Twin state · outcomes
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ANALYSISValidation ReviewAssumptions · confidence · reproducibility · limitations
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BOUNDARYNot Clinical ClaimResearch finding remains separate from diagnosis or treatment
Research scope #
Research ScopeWhat can be studied
- Longitudinal state transitions.
- Cohort-aware inference.
- Reference-human calibration behavior.
- Twin confidence progression.
- Outcome feedback loops.
BoundaryWhat must stay bounded
- Hypotheses are not validated claims.
- Cohort signals are not diagnoses.
- Calibration confidence is not clinical certainty.
- Runtime outputs require validation before clinical reliance.
- Clinical interpretation remains outside DT4H itself.
Implementation notes #
Preserve hypothesis labelsResearch logic should clearly mark what is exploratory versus validated.
Record assumptionsCohort, reference-human, and calibration assumptions should be preserved with analyses.
Do not overstate resultsRuntime model behavior should not be converted into clinical or outcome claims without validation.
System lineageDT4H→Twin→StateK→SETPOINT→Outcomes→Recalibration
Infrastructure boundaryDT4H models cohorts, Twins, calibration, and runtime state. It does not diagnose, prescribe, or replace licensed clinical judgment.