PATENT CLAIM ANALYSIS

Application Number: 16272021
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["462", "025000"]

Abstract:
A method of managing bets is provided. The method includes receiving one or more bets. Each bet comprises a selection of a first number of events selected from a group of events, a selection of a respective participant for each of the first number of events selected and a bet amount. The method also includes combining each bet amount to form a betting pool and determining an amount of a total payout based at least in part on the betting pool.

Claim (Index 15):
The non-transitory machine-readable medium of  claim 2 , in which the instructions are further configured to, when executed, direct the at least one processor to:\n cancel at least one event of the group of events; receive results of the group of events, the results identifying a winning participant for at least one event of the group of events; and determine one or more winning group bets by determining for each of the plurality of group bets if at least one of the selected respective participants corresponds to the winning participant for at least one of the plurality of events selected in the group bet, wherein, for at least one of the plurality of group bets, the respective selected of events comprises horse racing events held at different tracks.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.7551
- Patent Class: 462.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14816562', '10771076', '14164410', '10771221', '11928649']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.62900385654195
- 35 USC 102 Novelty (BERT): 0.6296984145524992
- Combined Prediction Score: 0.629073312343005
- Mean Citation Score: 519.640764
- Max Citation Score: 617.8842
- Similarity Product: 547.0470105661868

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

Dataset: test