PATENT CLAIM ANALYSIS

Application Number: 16152208
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["705", "03600R"]

Abstract:
A system and method are provided for intentionally delaying an execution of an executable instruction by determining if a current executable instruction is received from a predefined source for which all executable instructions are to be intentionally delayed. When so, the system sets a sequence time associated with the instruction equal to a receipt time plus a delay time. The system saves the instruction in an intentional delay queue for future execution. When the current executable instruction is received from a source that is not the predefined source, the system determines if a condition for immediate processing of the current executable instruction is present. When so, the system executes the instruction immediately. Otherwise, it performs an intentional delay determination that determines whether the current executable instruction has been intentionally delayed. When the current executable instruction has been intentionally delayed, the system executes the instruction immediately.

Claim (Index 10):
The method of  claim 9 , further comprising:\n prior to moving the executable instruction into the inbound message queue, setting an intentional delay flag indicating that the executable instruction has not yet been placed in the intentional delay queue.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 97.0
- Lexical Diversity: 2.37879
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15665083', '15644306', '14884526', '15665051', '15178167']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1175430160680795
- 35 USC 102 Novelty (BERT): 0.6176180370875959
- Combined Prediction Score: 0.1675505181700311
- Mean Citation Score: 304.7752
- Max Citation Score: 549.6189
- Similarity Product: 536.5448412549018

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