PATENT CLAIM ANALYSIS

Application Number: 16170106
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["714", "764000"]

Abstract:
A method for use in a dispersed storage network operates to select a recovery of selected ones of one or more first sets of encoded data slices in response to detecting a storage error associated with the selected ones of the one or more first sets of encoded data slices; issue requests for a second decode threshold number of encoded data slices of selected ones of one or more second sets of encoded data slices corresponding to the selected ones of the one or more first sets of encoded data slices; decode the second decode threshold number of encoded data slices to produce recovered data in response to receiving the second decode threshold number of encoded data slices; encode the recovered data utilizing first IDA parameters associated with the first IDA to produce one or more rebuilt encoded data slices corresponding to the selected ones of the one or more first sets of encoded data slices; and facilitate storage of the one or more rebuilt encoded data slices.

Claim (Index 12):
The processing system of  claim 8  wherein decoding the second decode threshold number of encoded data slices includes identifying second IDA parameters for the second decode threshold number of encoded data slices, the IDA parameters corresponding to the second IDA, and dispersed storage error decoding the second decode threshold number of encoded data slices utilizing the second IDA parameters to produce the recovered data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 3.53061
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15334714', '15265245', '15264011', '15334830', '14984024']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4334484859507919
- 35 USC 102 Novelty (BERT): 0.5641374041665622
- Combined Prediction Score: 0.4465173777723689
- Mean Citation Score: 334.56974
- Max Citation Score: 413.9324
- Similarity Product: 409.9525863260984

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