PATENT CLAIM ANALYSIS

Application Number: 15903628
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["711", "114000"]

Abstract:
A method for a dispersed storage network begins by receiving one or more revisions of a data object for storage within a time frame and facilitating, for each revision of the one or more revisions, storage of the revision in the selected primary storage target including at least some encoded data slices of each set of encoded data slices of a plurality of sets of encoded data slices are stored in the selected primary storage target and, for each of the revisions, facilitating subsequent storage of remaining encoded data slices of each set of encoded data slices that were not stored in the selected primary storage target, and determining to store the remaining encoded data slices in another storage target, identifying a most recently stored revision of the data object and facilitating storage of the remaining encoded data slices of the most recently stored revision in the other storage target.

Claim (Index 10):
The method of  claim 1 , wherein the identifying the other storage target is based on at least one of a lookup and performing a query and includes identifying the other storage target as a storage target associated with the selected primary storage target.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 2.85455
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15830443', '15345947', '15839426', '15832391', '15822302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5770917095036411
- 35 USC 102 Novelty (BERT): 0.503837183400013
- Combined Prediction Score: 0.5697662568932783
- Mean Citation Score: 264.61971600000004
- Max Citation Score: 275.6175
- Similarity Product: 203.9114632661641

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test