PATENT CLAIM ANALYSIS

Application Number: 16240446
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["703", "002000"]

Abstract:
Systems and methods for automatically generating scenarios and user interface elements representing valuations of instruments under the scenarios are described. The systems and methods use expert polling systems and machine learning rules to generate tree data storage structures representing different scenarios of macro factors for outcomes of events. Machine implemented interfaces for expert polling, presentment of scenarios, and interaction with scenarios are also provided.

Claim (Index 1):
A method for dynamically generating data structures representing scenarios for an event linked to a plurality of macro factors and a plurality of outcomes, the method comprising:\n receiving responses to a set of poll questions, each poll question linked to a macro factor of the plurality of macro factors; generating a graph data storage structure representing scenarios for the plurality of macro factors and the plurality of outcomes, each node in the graph data storage structure including a descriptor and a data value, the graph data storage structure including a root node, outcome nodes connected to the root node, and macro factor nodes connected to the outcome nodes, the root note corresponding to the event, each outcome node corresponding to one of the plurality of outcomes, and each macro factor node corresponding to one of the macro factors and including a data value; filtering the responses for bias based on sentiment factors; applying a set of rules to the filtered responses to generate values for the macro factors; populating the macro factor nodes in the graph data storage structure with the data values for the corresponding macro factors to generate scenarios for the outcome nodes; and providing for display a user interface including visual elements indicating the scenarios and a distribution of responses.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 1.46809
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16164288', '14842022', '14948697', '14916698', '11831416']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2160656638221579
- 35 USC 102 Novelty (BERT): 0.4887772639171464
- Combined Prediction Score: 0.2433368238316567
- Mean Citation Score: 187.128362
- Max Citation Score: 196.80824
- Similarity Product: 147.58689475347518

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

Dataset: test