ISSP Evidence Lab planning site: schematic / planned / default thresholds / structure examples are labelled; no fabricated experimental results.

OUTLIVE

Glossary & FAQ

Keep the keywords in one dictionary.

Terms follow engineering-doc and paper decisions; result mentions point to “pending public-data runs”. Threshold figures are default design targets, not site measurements.

§ 1

Glossary

Credibility & use

COU
Context of Use: scope, prediction targets, out-of-scope, assumptions, risks and validation requirements.
Measurement model
y_obs = g(x_sim) + ε; align to experimental columns with units, transforms, LOD and noise.
Calibration
Fit calibratable parameters on training conditions only (≤10/scenario); validation never enters the fit.
UQ
Uncertainty Quantification reporting coverage and sharpness (or WIS/CRPS) together.
coverage
Fraction of points covered by predictive intervals; train vs validation separately.
sharpness
Interval informativeness (e.g. relative width); blocks coverage gaming via huge intervals.
L1 / L2
Weak vs strong extrapolation; strict isolation.
Verification-lite
dt/grid sensitivity engineering floor; not full numerical verification.

Platform & replay

ISSP
Immune System Simulation Platform; public brand OUTLIVE.
Scenario Pack
Minimal reviewable unit: config, tasks, public data and COU.
ABM
Agent-based layer for discrete interactions.
Parquet replay
Shards + JSON index with provenance; reports cite time segments.
replay_ref
time_range + filters structure linking reports to replay.
digitization_error_band
Error band for digitized paper figures; must enter the audit trail.

Endpoints & immunology

T_clear
Clearance time when pathogen observables fall below detection threshold.
AUC
Area under curve for load or inflammation proxies.
TGI
Tumor Growth Inhibition, often TGI@dayX.
IFN / NK / CTL
Type-I interferon, natural killer, cytotoxic T (effector CD8) roles.
Treg / MDSC / PD-1
Suppression and checkpoint concepts for tumor L2 / interventions.
DMTA
Design–Make–Test–Analyze; v3 planned interfaces; no v1 hardware.
Intervention strategy
AI search output as intervention_script.yaml — not a molecular structure.

§ 2

Abbreviation sheet

Default acceptance threshold
AbbrMeaningDefault hint
COUContext of UseRequired per scenario
UQUncertainty Quantificationcoverage + sharpness
V-liteVerification-liteEndpoint Δ default ≤20%
L1 / L2Extrapolation strengthStrict isolation
ABC / MCMC / LHSUQ/sampling methodsv1 at least tier A
T_clear / AUC / TGIEndpointsBy scenario
ABMAgent-based modelingOne core layer
DMTAExperiment loopv3 planned

Hints are document design targets, not measurements.

§ 3

FAQ

Is this a digital twin for individual patients?+

No. v1 does not promise individual-patient prediction or clinical decisions. COU covers research demos, teaching exhibits and early mechanism studies.

Can you give dosing or treatment advice?+

No. Strategy search yields mechanism-comparison scripts on calibrated+UQ models — not medical advice.

Why murine data before human data?+

Richer controllable series, lower heterogeneity, easier L2, more auditable observables. Human extrapolation is a v2+ discussion.

Do you have fit results or coverage numbers now?+

No measured results to show. Everything result-class awaits public-data runs; no fabricated DOIs.

What is L2 vs L1?+

L1: weak (inoculum/dose/timing). L2: strong mechanism changes (NK recruitment drop, IFN block, neutrophil defects, Treg/MDSC boost, …). Validation never calibrates.

Why not just widen intervals to raise coverage?+

UQ must report sharpness. Ultra-wide intervals that only inflate coverage are considered uninformative.

Is Verification-lite full numerical verification?+

No. It is a dt/grid sensitivity floor (default ≤20% endpoint change, COU-adjustable).

Where can replay open?+

Design goal: Web, Unity, Unreal on one protocol. Web player is planned on this site; Unity first, Unreal staged.

Popular vs research mode?+

Shared modules, graded outputs: popular for phenomena/story; research for pinned ranges, public data, intervals and reproducible configs.

Do you generate molecules?+

Not in v1. Only intervention strategy search; molecular/DMTA later.

Are default thresholds fixed?+

They are design defaults adjustable in COU — not measured pass/fail shown here.

Where was the paper submitted? Is the spine fixed?+

Status: in preparation. Default spine: murine Influenza-like + MC38-like + blockade/exhaustion L2 — replaceable.

Is digitizing paper figures reliable?+

Usable if scripts, hashes and digitization_error_band are retained, with cross-checks when needed.

How to collaborate?+

Email contact@outlive.top (TBD). Modes: scenario packs, data alignment, report/replay, exhibit narrative. See About.