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Lab Journal Entry 10: Consistency Checks

Date: 30 July 2025 01:00 Phase: Phase 2 - Simulation & Analysis Status: ✅ COMPLETE - Validation Protocols Ready

Follow the white rabbit​

As I was in rush-mode, building this project, I hardcided some staff for speed-sake, but its time to check and remove all this hardcoded BS, so we can fully rely on single source-of-truth and no one would suffer in future blindly guessing 'why my condig is not fully applied'

Perfosnal reflection: it's ok to hardcode things while you prototyping, but the one golden rule - replace hardcoded values to dynamic vars at the same iteration, otherwise in a couple of weeks - a months, you'd just forget about them and here comes the tech-debpt, bugs and 'itallian-driven design' (read as 'php spaghetty')

The targets to check:

  • personas ✅
  • events ✅
  • experimental_design ✅

The targets to think about - coefficients we use (like severioty of event and its weight) - 1st simulations raised questions here (what value to use - that would be emperic guessing), so better to make them dynamic (this alone can we a separate study) and either as part of experiment design, or maybe even separate config. Lets see..

So what else I move to yaml configs:

  1. config/experiments/clinical_thresholds.yaml

    • PHQ-9, GAD-7, PSS-10 severity thresholds
    • Clinical significance thresholds
    • Risk assessment criteria

  2. config/experiments/drift_detection.yaml

    • Drift detection thresholds
    • Baseline sample requirements
    • Early warning parameters

  3. config/experiments/personality_drift.yaml

    • Stress level scaling factors
    • Trauma level coefficients
    • Activation sparsity thresholds

  4. config/experiments/simulation_timing.yaml

    • Duration and compression factors
    • Assessment intervals
    • Checkpoint frequencies

  5. config/experiments/mechanistic_analysis.yaml

    • Attention sampling rates
    • Event intensity ranges
    • Circuit tracking parameters

'Great Sucess' as Borat said - we even dindt broke the test (almost), so now we have full yanl-configurable platform, and it would be pretty easy to setup experimetns with various params (another cool part, we always know what params we use for simulation, and track studies - jsut remember to take a snapshot of configs you using during sim run).

Idea for future - add config exports alongside with sim run and result exports, so we can consistently work with proper experiment version, But its a TODO - for now, a bit of 'memorizing' and 'attention' should do the job