PATENT CLAIM ANALYSIS

Application Number: 15904221
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["709", "204000"]

Abstract:
Implementations may provide contextually-aware consensus assistance for meeting participants. A system may include a computerized or automated assistant that can help a team come to an accurate consensus even when team members are not present in a meeting. The accuracy of a decision can be improved by reaching out to relevant voters who may be absent. A meeting and a decision process can proceed even when a meeting does not meet the requirements of a quorum. For example, if ten people are required to make a decision, and only seven show up to a meeting, the meeting can still move forward, and voting can still be conducted using the disclosed techniques.

Claim (Index 2):
The computer implemented method according to  claim 1 , comprising:\n analyzing the result for determining a decision when the result indicates a threshold level of agreement of the participants and the one or more individuals; in response to determining the decision, generating a follow-up query related to a sub-topic to the topic; communicating the follow-up query to the participants and the one or more individuals; obtaining a supplemental result from the participants and the one or more individuals; and causing display of a graphical user interface comprising the supplemental result.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 1.62162
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15904238', '12771400', '15200281', '13623587', '09540947']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2281779067442062
- 35 USC 102 Novelty (BERT): 0.5672218060356113
- Combined Prediction Score: 0.2620822966733467
- Mean Citation Score: 239.533538
- Max Citation Score: 448.8576
- Similarity Product: 393.01769919204713

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