PATENT CLAIM ANALYSIS

Application Number: 16115702
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-03
Patent Classification: ["005", "118000"]

Abstract:
An adjustable sofa-bed assembly for use within a vehicle such as a van or RV. The sofa-bed includes a seat portion, a back portion, and either a permanently fixed base or a removable leg portion which allows the legs to be installed into the vehicle prior to installing the seat and back portions to allow for additional elements to be installed beneath the sofa-bed, such as power elements for a powered sofa-bed assembly or for other equipment. The sofa-bed can be transformed from a sofa configuration with an upright back portion to a bed configuration with a laid-flat back portion. When in the bed configuration, the seat portion and back portion are aligned such that there is no gap between the two portions and the two portions lie completely flat, forming a complete bed assembly.

Claim (Index 2):
The sofa-bed assembly of  claim 1 , further comprising:\n said base assembly comprising a removable leg assembly, said removable leg assembly removably affixed to said support structure; said removable leg assembly removably further affixed to an interior space of the vehicle; and said removable leg assembly configured to be installed prior to said support structure.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 96.0
- Lexical Diversity: 1.9726
- Patent Class: 5.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16115830', '13486477', '13912319', '13751544', '13959875']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7648601337815044
- 35 USC 102 Novelty (BERT): 0.5043784830854487
- Combined Prediction Score: 0.7388119687118989
- Mean Citation Score: 229.399644
- Max Citation Score: 299.7085600000001
- Similarity Product: 231.3774601213265

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