PATENT CLAIM ANALYSIS

Application Number: 15920374
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["463", "023000"]

Abstract:
An electronic gaming machine that provides a gambling game and an entertainment game, including: a real world engine, an entertainment software engine, and a game world engine; the system constructed to provide a randomly generated payout of real world credit from a wager in a gambling game, wagers triggered during an entertainment game; and to collect parameter data indicative of player performance during the player's skillful execution of the entertainment game at each of a plurality of difficulty settings, the parameter data indicative of the player's actions during the player's skillful execution of the entertainment game and indicative of a rate of accumulation of game world credit during the entertainment game; and select a difficulty setting from the plurality of difficulty settings for the skill based entertainment game based upon the collected parameter data.

Claim (Index 7):
The electronic gaming machine of  claim 1 , wherein the game world engine and the entertainment software engine are constructed using different processing apparatuses, and wherein the game world engine and the entertainment software engine are connected by respective communication interfaces of the processing apparatuses over a network.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 2.40984
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15370425', '15189797', '15694520', '14185847', '13888326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.468405733010566
- 35 USC 102 Novelty (BERT): 0.6711309428994213
- Combined Prediction Score: 0.4886782539994515
- Mean Citation Score: 629.0732
- Max Citation Score: 653.7004400000002
- Similarity Product: 609.6263160743572

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test