PATENT CLAIM ANALYSIS

Application Number: 16109048
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["463", "026000"]

Abstract:
Gaming systems, methods, and machines provided herein may be used to provide bonus games that are associated with two different classes of awards, e.g., one or more first awards and one or more second awards. The first award(s) may generally be much more desirable to players than the second award(s), e.g., the first awards may be large-denomination jackpot awards, whereas the second awards may be small-denomination credit awards, e.g., non-jackpot awards. During play of such bonus games, selection of a stop position associated with a second award may cause that stop position to be instead associated with one of the one or more first awards for future play of the bonus game, thereby increasing the opportunities to win a first award in subsequent play of the bonus game.

Claim (Index 33):
The non-transitory, computer-readable storage device of  claim 27 , wherein the non-transitory computer-readable storage device stores further computer-executable instructions for further controlling the one or more processors to cause the graphical indicator for each first stop position associated with one of the one or more first awards to update to indicate the associated first award responsive to (d).

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.24242
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13107837', '14101726', '13784151', '14939074', '09857042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4213071098110383
- 35 USC 102 Novelty (BERT): 0.5164005685532964
- Combined Prediction Score: 0.4308164556852641
- Mean Citation Score: 353.49164
- Max Citation Score: 369.24353
- Similarity Product: 235.17219749764325

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