{label} d = {d.toFixed(2)}

{note ?

{note}

: null}

); } // representative subject record inspector function SubjectInspector({ t, recordType }) { // synthesize 5 trace-normalized eigenvalues that sharpen (lower entropy) as t→1 const base = recordType === "abstain" ? [0.27, 0.24, 0.21, 0.16, 0.12] : [0.30, 0.25, 0.20, 0.15, 0.10]; const peaked = recordType === "abstain" ? [0.30, 0.26, 0.20, 0.14, 0.10] // abstain barely sharpens — stays high-entropy : [0.62, 0.18, 0.10, 0.06, 0.04]; const ev = base.map((b, i) => b + (peaked[i] - b) * t); const sum = ev.reduce((a, b) => a + b, 0); const p = ev.map((e) => e / sum); const H = -p.reduce((a, x) => a + (x > 0 ? x * Math.log(x) : 0), 0); const Hmax = Math.log(5); const routed = recordType === "abstain" ? "ABSTAIN" : (t > 0.55 ? "Class A · responder-enriched" : "resolving…"); const flagColor = recordType === "abstain" ? "var(--warning)" : (t > 0.55 ? "var(--success)" : "var(--text-muted)"); return (

Record inspector · {recordType === "abstain" ? "REC-0488" : "REC-0207"} {routed}

trace-normalized eigenvalue spectrum ρ

{p.map((v, i) => (

λ{i + 1}

))}

0"} color={recordType === "abstain" ? "var(--warning)" : "var(--success)"} />

); } function DemoApp({ onNav }) { const Wrap = window.OCAWrap, Section = window.OCASection, Kicker = window.OCAKicker, SH = window.OCASH, VizLegend = window.OCAVizLegend, Pipeline = window.OCAPipeline; const [t, setT] = React.useState(0); const [playing, setPlaying] = React.useState(false); const [vizStyle, setVizStyle] = React.useState("ellipsoid"); const [showAbstain, setShowAbstain] = React.useState(true); const [showSpec, setShowSpec] = React.useState(false); const [recordType, setRecordType] = React.useState("responder"); const [r, setR] = React.useState(null); const rafRef = React.useRef(0); // play animation 0→1 (timer-driven so it runs even when not foregrounded) React.useEffect(() => { if (!playing) return; const start = performance.now(); const dur = 2600; const iv = setInterval(() => { const k = Math.min(1, (performance.now() - start) / dur); setT(k); if (k >= 1) { clearInterval(iv); setPlaying(false); } }, 33); return () => clearInterval(iv); }, [playing]); const ittD = 0.31; const respD = 0.31 + t * 0.42; const nonD = 0.31 - t * 0.21; const ctrlBtn = (active, label, onClick) => ( ); return (

{/* disclaimer banner */}

ILLUSTRATIVE SIMULATION · synthetic cohort · NOT Tonix or Tonmya trial data. Public facts are cited as public record; the worked case demonstrates method behavior only and asserts nothing about any real product or study.

Worked case · gated demo

De-mixing a fibromyalgia Phase 3 population — the Tonmya case

Tonix Pharmaceuticals' Tonmya (TNX-102 SL, sublingual cyclobenzaprine) was approved by the FDA on August 15, 2025 — the first new fibromyalgia therapy in over 15 years, supported by Phase 3 trials enrolling roughly one thousand patients. Those trials, like all fibromyalgia trials, randomized a clinically labeled population that is biologically heterogeneous. Below: what a registered de-mix of such an ITT population looks like, on a synthetic cohort.

{/* main interactive */}

{/* left: viz + controls */}

SYNTHETIC ITT COHORT · N=300

{ctrlBtn(vizStyle === "ellipsoid", "ellipsoid", () => setVizStyle("ellipsoid"))} {ctrlBtn(vizStyle === "constellation", "kNN panels", () => setVizStyle("constellation"))} {ctrlBtn(vizStyle === "field", "entropy field", () => setVizStyle("field"))}

{/* de-mix control */}

{ctrlBtn(false, "reset", () => { setPlaying(false); setT(0); })}

mixed { setPlaying(false); setT(Number(e.target.value) / 100); }} style={{ flex: 1 }} /> de-mixed

{ctrlBtn(showAbstain, showAbstain ? "abstain ●" : "abstain ○", () => setShowAbstain((v) => !v))} {ctrlBtn(showSpec, showSpec ? "specificity ●" : "specificity ○", () => setShowSpec((v) => !v))}

{/* right: readouts */}

Live cohort readout

Apparent treatment effect (illustrative)

Synthetic effect sizes · illustrate dilution, not a Tonmya result.

{/* record inspector */}

Per-record view One subject, gated

Every record carries its own local covariance operator. As the cohort de-mixes, a responder-class record's spectrum sharpens toward a low-entropy signature; a boundary record fails its gate and abstains rather than being forced into a class.

{ctrlBtn(recordType === "responder", "responder record", () => setRecordType("responder"))} {ctrlBtn(recordType === "abstain", "boundary record", () => setRecordType("abstain"))}

Routing pipeline

The gate is a hard numerical predicate — real symmetry, positive-semidefiniteness, strictly positive trace. A record that fails is not classified; it is routed to specialist review. Abstention is a feature, not an error.

{/* receipt + CTA */}

// run-receipt.json (this session)

{`{
  "experiment_id": "EXP-IE-FM-DEMO",
  "cohort": "synthetic-itt-300",
  "status": "hypothesis-generating",
  "classes_resolved": ${r ? r.classes : 1},
  "mean_H_S": ${(r ? r.entropy : 0.69).toFixed(3)},
  "responder_class_d": ${respD.toFixed(2)},
  "abstained": ${r ? r.abstain : 0},
  "claim_ceiling": "methods-only · illustrative",
  "asserts_about_tonmya": false
}`}

Run this on a real cohort

A sponsored engagement applies the registered workflow to your data under NDA, returning a versioned results package — structured JSON, human report, and checksum — with an immutable experiment ID.

); } function DemoScreen({ onNav }) { const [unlocked, setUnlocked] = React.useState(() => localStorage.getItem("ie_demo_unlocked") === "1"); return unlocked ? : setUnlocked(true)} />; } window.DemoScreen = DemoScreen;

The interactive de-mixing demo

Run this on a real cohort