PATENT CLAIM ANALYSIS

Application Number: 16002312
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["463", "020000"]

Abstract:
A slot machine device providing a unique operation, payout scheme, and structure. This slot machine provides optional, unique game play features. These features may include a Notice feature which informs a player if the next cycle will be a win or a loss; a Flush feature allowing a player to discard a losing cycle; a Do-Over feature, allowing a player to replay a cycle if they do not like the results of the prior cycle; a skill-based feature that requires the player to display an element of skill; and a social feature that requires the player to perform a social task. These features may be turned on and off, and the slot machine may be configured to automatically adjust a payout option depending on what features are activated.

Claim (Index 14):
The slot machine of  claim 11  further comprising a networked connection providing a networked communication to the processor and the memory, the networked communication allowing a user to access a server storing a quantity of user information, and wherein the payout programming is based at least in part on the quantity of user information, wherein the user information comprises at least one of: user game play history, user status, user preferences, and stored user credits.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.93151
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15690356', '14686968', '10951414', '15230095', '09966851']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3229629104749629
- 35 USC 102 Novelty (BERT): 0.544042034156436
- Combined Prediction Score: 0.3450708228431102
- Mean Citation Score: 299.9641659999998
- Max Citation Score: 436.36975
- Similarity Product: 346.05288259832565

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