PATENT CLAIM ANALYSIS

Application Number: 16007222
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["210", "167110"]

Abstract:
A system for implementation or de-pollution and revitalization of artificial or natural lakes, inserted in land block and street structures around them, aiming at modulation in the artificial or natural lakes, insertion of dividing walls made of vinyl curtain, land dykes, concrete walls, or any other way, dividing the artificial or natural lake in isolated places, so there is no contact between the water of each module, considering that each module can be used for different activities, such as bathing, water sports, fishing, etc., considering that the water of the artificial or natural lake is de-polluted through the portable or the stationary treatment unit and preferably, conditioned into containers.

Claim (Index 5):
System for implementation or de-dilution and revitalization of artificial or natural lakes, according to  claim 1 , wherein one of the modules is a bathing module, and, in the bathing module (MB), sand at sufficient quantity is deposited from margin to a limit of a flooded area destined for bathing, forming an artificial beach, comprising a sand layer that remains stationary, once in the artificial or natural lake, because said lake has an rate of effluent flow sufficiently minimal such that the effluent flow cannot carry said sand.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 94.0
- Lexical Diversity: 1.73611
- Patent Class: 210.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14119863', '15462534', '15058756', '14005427', '13861262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7788159626064308
- 35 USC 102 Novelty (BERT): 0.4959671096972051
- Combined Prediction Score: 0.7505310773155083
- Mean Citation Score: 182.968872
- Max Citation Score: 219.97461
- Similarity Product: 141.09694185650648

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

Dataset: test