PATENT CLAIM ANALYSIS

Application Number: 16005562
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["224", "156000"]

Abstract:
This invention relates to a multiple use convertible backpack, in particular the backpack has an outer shell which is integrated with a convertible dual-sided fabric liner which may be utilized as a sleeping bag, blanket, cushion, or pillow. The backpack may be used to store additional items when the convertible dual-sided fabric liner is stowed inside the backpack. With the backpack remaining attached to the convertible dual-sided fabric liner when removed from the backpack, the outer shell may be used as a hood, or as an extension of the sleeping bag, blanket, or cushion into which the user's feet may extend or be placed. Alternatively, the outer shell may serve as a bag, attached to the dual-sided fabric liner, into which additional materials, items, or personal belongings may be placed, while the convertible dual-sided fabric liner is removed from the backpack.

Claim (Index 6):
The back pack of  claim 4  wherein the interior layer has a top portion and a bottom portion and wherein the bottom portion of the interior layer of the convertible dual layered fabric liner comprises additional material or coating that improves durability and abrasion resistance of the bottom portion of the interior layer.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 94.0
- Lexical Diversity: 2.53968
- Patent Class: 224.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15820997', '10937913', '15256877', '12070512', '15827095']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8567491227875241
- 35 USC 102 Novelty (BERT): 0.5013234506803339
- Combined Prediction Score: 0.8212065555768052
- Mean Citation Score: 224.193288
- Max Citation Score: 260.161
- Similarity Product: 161.78769630765916

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