| // Risk score (docs/ARCHITECTURE.md §3.4): logistic regression over Jev's evidence answers. | |
| // Weights are fit offline by training/train_scorer.ts and promoted only when the replay gate passes | |
| // (zero legit calls quarantined on held-out data). | |
| import type { Evidence } from './jev.ts'; | |
| import trained from './scorer-weights.json' with { type: 'json' }; | |
| export const SCORER_VERSION = trained.version; | |
| /** Quarantine threshold chosen by training: the lowest that held back no legit example, plus a margin. */ | |
| export const SCORER_TAU = trained.tau; | |
| export interface CallContext { | |
| stir: string | null; | |
| repeatsFromNumber7d: number; | |
| } | |
| export function pJunk(e: Evidence, ctx: CallContext): number { | |
| const w = trained.weights; | |
| const z = | |
| trained.bias + | |
| w.sales * e.sales + | |
| w.pressure * e.pressure + | |
| w.agent * e.agent + | |
| w.selfAssert * e.selfAssert + | |
| w.catJunk * (e.catScam + e.catMkt) + | |
| w.catLegit * e.catLegit + | |
| w.specific * e.specific + | |
| w.official * e.official + | |
| w.protected * e.protected + | |
| trained.handSet.stirC * (ctx.stir === 'TN-Validation-Passed-C' ? 1 : 0) + | |
| trained.handSet.repeat * Math.min(ctx.repeatsFromNumber7d, 4); | |
| return 1 / (1 + Math.exp(-z)); | |
| } | |