PATENT CLAIM ANALYSIS

Application Number: 16138352
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["441", "130000"]

Abstract:
A buoyant pool lounge chair frame and buoyant pool lounge chair using the same are disclosed. In one embodiment of the buoyant pool lounge chair for supporting a person while the buoyant pool chair is floating in water, frame members collectively form an open chair frame including a back frame and leg frame pivotally coupled thereto. Buoyant cushions are attached to the frame members to form a chair seat, a backrest, and a leg rest. A pair of rear pivotal coupling and clutch assemblies are coupled to the seat frame and to the back frame to adjust and fix the angle of recline of the back frame relative to the seat frame. Similarly, a pair of front pivotal coupling and clutch assemblies coupled to the leg frame and to the back frame to adjust and fix the angle of extension of the leg frame relative to the seat frame.

Claim (Index 14):
The buoyant lounge chair as set forth in  claim 12 , wherein each of the pair of rear pivotal coupling and clutch assemblies further comprises:\n a first coupling body extending from the fixed clutch member, the first coupling body securing the fixed clutch member to the seat frame; and a second coupling body extending from the movable clutch member, the second coupling body securing the movable clutch member to the back frame.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.67797
- Patent Class: 441.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16138615', '10884442', '11678958', '12489065', '14330733']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7505097378195047
- 35 USC 102 Novelty (BERT): 0.5376143734536868
- Combined Prediction Score: 0.7292202013829229
- Mean Citation Score: 357.67957600000005
- Max Citation Score: 406.80515
- Similarity Product: 260.2822082865596

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

Dataset: test