1import{j as e}from"./index-iAVlVxvB.js";import{A as a,P as o,a as i,S as l}from"./primitives-B-PYiOq8.js";import"./Sidebar-BstMbomz.js";const r=["Expert assumptions default to 50/100 (neutral) across all biology, clinical, regulatory, and commercial dimensions.","Strategic fit and risk tolerance are seeded per-candidate from the diligence profile.","All models run deterministically and fully offline â no live network calls during scoring."];function c(){return e.jsxs(a,{title:"Settings",children:[e.jsx(o,{eyebrow:"Workspace",title:"Settings",subtitle:"PhaseZero runtime configuration and assumption defaults."}),e.jsxs("div",{className:"grid grid-cols-1 lg:grid-cols-2 gap-5",children:[e.jsxs(i,{children:[e.jsx(l,{children:"Engine"}),e.jsxs("dl",{className:"mt-4 flex flex-col gap-3 text-[12.5px]",children:[e.jsx(t,{k:"API Base",v:"http://localhost:8000"}),e.jsx(t,{k:"Scoring Mode",v:"Deterministic / Offline"}),e.jsx(t,{k:"BioNeMo Layer",v:"BioNeMo-style plausibility layer â mocked for demo, API-ready"}),e.jsx(t,{k:"Live Connectors",v:"Disabled (demo)"})]})]}),e.jsxs(i,{children:[e.jsx(l,{children:"Assumption Defaults"}),e.jsx("ul",{className:"mt-4 flex flex-col gap-2.5",children:r.map(s=>e.jsxs("li",{className:"flex gap-2 text-[12.5px] leading-snug text-pz-soft font-light",children:[e.jsx("span",{className:"text-pz-accent text-[8px] pt-1.5",children:"â"}),e.jsx("span",{children:s})]},s))})]})]})]})}function t({k:s,v:n}){return e.jsxs("div",{className:"flex items-center justify-between border-b pz-border pb-2.5",children:[e.jsx("span",{className:"font-mono-pz text-[9px] tracking-[0.16em] uppercase text-pz-muted",children:s}),e.jsx("span",{className:"text-pz-soft font-light",children:n})]})}const m=c;export{m as component};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.