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Graph/capture-frame

Component

capture-frame

capture-frame

capture-frame

Node Details

Public graph metadata

Updated6/20/2026

PageRank0.0000

Connections

2 linked nodes

RELATES_TODomain

Machine Learning

AFFECTSRootCause

raw p is heavily reweighted before it matters; what counts is whether p is CALIBRATED — a noisy-OR merge with a structural prior, then a discount on model-only items (0.6 for entities, 0.8 for relations). Tension: A set-overlap macro-F1/recall gate has no notion of calibration. Outcome: a predicted 0.7 is right ~70% of the time post-merge.

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