PATENT CLAIM ANALYSIS

Application Number: 15885760
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["711", "154000"]

Abstract:
Apparatuses, systems, methods, and computer program products are disclosed for hybrid dual write. An apparatus includes a memory device comprising a plurality of single level cell blocks and a plurality of multi level cell blocks. An apparatus includes a hybrid writing component. A hybrid writing component includes a single level writing circuit that writes data to a plurality of single level cell blocks. A hybrid writing component includes a multi level writing circuit that copies data from a plurality of single level cell blocks to a plurality of multi level cell blocks. A hybrid writing component includes a control circuit that controls data to be copied from a single level cell block of a plurality of single level cell blocks to at least two multi level cell blocks of a plurality of multi level cell blocks.

Claim (Index 13):
The method of  claim 11 , further comprising:\n writing a third set of data to a third set of single level cell blocks; copying the third set of data from the third set of single level cell blocks to a third multi level cell block, wherein the first set of single level cell blocks, the second set of single level cell blocks, and the third set of single level cell blocks share the common single level cell block.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 3.08511
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14278747', '14520909', '14479472', '15269518', '11926743']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4763737557429496
- 35 USC 102 Novelty (BERT): 0.4973810292779334
- Combined Prediction Score: 0.478474483096448
- Mean Citation Score: 205.11665
- Max Citation Score: 218.41772000000003
- Similarity Product: 151.85708843473913

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