PATENT CLAIM ANALYSIS

Application Number: 15899626
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["714", "764000"]

Abstract:
A method includes retrieving a read threshold number of integrity check value list (ICVL) encoded data slices of a set of ICVL encoded data slices. The method further includes determining whether an appended ICVL of each ICVL encoded data slice of the read threshold number of ICVL encoded data slices substantially match. When the appended ICVL of one of the ICVL encoded does not substantially match the appended ICVL of other ICVL encoded data slices, the method further includes determining a likely cause for the mismatch. When the likely cause is missing a revision update, the method further includes initiate rebuilding of the encoded data slice portion. The method further includes generating an integrity check value for the rebuilt encoded data slice and updating the integrity check value list. The method further includes appending the updated integrity check value list to the rebuilt encoded data slice.

Claim (Index 6):
The computing device of  claim 1 , wherein the processing circuitry is further configured to execute the operational instructions to:\n generate a set of integrity check values for a set of EDSs, wherein the data segment of the data object is dispersed storage error encoded to produce the set of EDSs; generate an ICVL from the set of integrity check values; append the ICVL to each EDS of the set of EDSs to produce the set of ICVL EDSs; and send the set of ICVL EDSs to the set of SUs of the DSN for storage therein.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 88.0
- Lexical Diversity: 2.78571
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15357293', '15842560', '15840397', '15363622', '15212666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3245848240269868
- 35 USC 102 Novelty (BERT): 0.5506623928922428
- Combined Prediction Score: 0.3471925809135124
- Mean Citation Score: 330.6532880000001
- Max Citation Score: 410.32236
- Similarity Product: 342.29615663125986

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