PATENT CLAIM ANALYSIS

Application Number: 16136106
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["714", "763000"]

Abstract:
A method begins with a processing module querying distributed storage network (DSN) storage units regarding storage errors associated with a data segment. The method continues with the processing module receiving query responses and depending on the responses, assigning a first threshold priority or a second threshold priority to encoded data slices (EDSs) associated with the data segment. The method proceeds with the processing module, depending on the assigned threshold priority, issuing read slice requests and rebuilding EDS associated with the data segment.

Claim (Index 2):
The method of  claim 1 , further comprising:\n when the second threshold number of error-free dispersed storage error EDSs has not been stored in the plurality of storage units of the DSN, determining whether a third threshold number of error-free dispersed storage error EDSs has been stored in the plurality of storage units of the DSN; and when the number of error-free dispersed storage error EDSs is between the second threshold number of error-free dispersed storage error EDSs and the third threshold number of error-free dispersed storage error EDSs, issuing one or more read slice requests to storage units known to store available error-free EDSs; and rebuilding one or more dispersed storage error EDSs associated with the first data segment that are not error-free.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.87755
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15642875', '15840887', '13866631', '14869240', '14027694']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.301850791496475
- 35 USC 102 Novelty (BERT): 0.5491204430950604
- Combined Prediction Score: 0.3265777566563335
- Mean Citation Score: 338.134628
- Max Citation Score: 403.13812
- Similarity Product: 396.2665501689554

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