PATENT CLAIM ANALYSIS

Application Number: 16005227
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["706", "012000"]

Abstract:
A system for event prediction using schema networks includes a first antecedent entity state that represents a first entity at a first time; a first consequent entity state that represents the first entity at a second time; a second antecedent entity state that represents a second entity at the first time; and a first schema factor that couples the first and second antecedent entity states to the first consequent entity state; wherein the first schema factor is configured to predict the first consequent entity state from the first and second antecedent entity states.

Claim (Index 1):
A system for event prediction using schema networks comprises:\n a first antecedent entity state that represents a first entity at a first time; wherein the first antecedent entity state comprises a first assignment of values to an attribute set of the first entity; a first consequent entity state that represents the first entity at a second time; wherein the first consequent entity state comprises a second assignment of values to the attribute set of the first entity; a second antecedent entity state that represents a second entity at the first time; wherein the second antecedent entity state comprises a first assignment of values to an attribute set of the second entity; and a first schema factor that couples the first and second antecedent entity states to the first consequent entity state; wherein the first schema factor is configured to predict the first consequent entity state from the first and second antecedent entity states.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 94.0
- Lexical Diversity: 2.9697
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12559921', '14864076', '15423476', '12705658', '12336360']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3185711827767413
- 35 USC 102 Novelty (BERT): 0.492075726946481
- Combined Prediction Score: 0.3359216371937152
- Mean Citation Score: 107.2882332
- Max Citation Score: 114.652626
- Similarity Product: 68.31125582525398

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