PATENT CLAIM ANALYSIS

Application Number: 15876779
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["463", "025000"]

Abstract:
The present invention provides novel method and devices for implementing progressive systems on networked gaming machines and associated network devices. Some preferred implementations of the invention allow a target progressive pool size to be selected and apply payouts such that the actual progressive pool size is not likely to exceed greatly the target progressive pool size. Some such implementations control the actual progressive pool size by applying a function to control percentages of the current progressive pool size payable to players of a wagering game on the networked gaming machines. The function may be a function of a current progressive pool size, target progressive pool size and bet size. The function may cause relatively higher percentages of the current progressive pool size to be payable to players when the current progressive pool amount is greater than a target progressive pool size and relatively lower percentages of the current progressive pool size to be payable to players when the current progressive pool size is less than or equal to a target progressive pool size.

Claim (Index 5):
The gaming system of  claim 3 , wherein the target progressive award amount comprises a percentage of the maintained progressive award amount.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 86.0
- Lexical Diversity: 2.71212
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14729877', '13085361', '11059973', '15286204', '13548094']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4331429075716621
- 35 USC 102 Novelty (BERT): 0.6097483455054813
- Combined Prediction Score: 0.450803451365044
- Mean Citation Score: 386.07110200000005
- Max Citation Score: 488.93344
- Similarity Product: 351.6212078046608

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