Examiner: DE GUZMAN, JOHN OLIVER TAGUBA

Tech Center 2100 • Art Units: 2100 2123

This examiner grants 0% of resolved cases

Performance Statistics

—

Allow Rate

-55.0% vs TC avg

Total Applications

—

Interview Lift

Avg Prosecution Days

Based on 0 resolved cases, 2023–2026

§101 Eligibility

§102 Novelty

100.0%

§103 Obviousness

§112 Clarity

App #	Title	Status	Assignee
18315752	SYSTEMS AND METHODS FOR TRAINING AND USING A MACHINE-LEARNING MODEL FOR DETERMINING THE SIMILARITY OF ENTITIES	Non-Final OA	SHOPIFY INC.

IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.