PATENT CLAIM ANALYSIS

Application Number: 16091905
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["156", "308200"]

Abstract:
Filler-reinforced solid resin multilayered structures and methods of making the same. A method of forming a filler-re-inforced solid resin multilayered structure includes forming a layer stack including a first resin layer that is a monoextruded filler-reinforced resin layer and one or more second resin layers that are the same as or different than the first resin layer. The monoextruded filler-reinforced resin layer has a thickness of about 1 micron to less than about 1 mm. The method includes contacting the layer stack and a compression tool. The method includes compressing the layer stack with the compression tool, to laminate the layers of the layer stack and form the filler-reinforced solid resin multilayered structure.

Claim (Index 1):
A method of forming a filler-reinforced solid resin multilayered structure, the method comprising:\n forming a layer stack comprising a first resin layer that is a monoextruded filler-reinforced resin layer and one or more second resin layers that are the same as or different than the first resin layer, the monoextruded filler-reinforced resin layer comprising a filler and a resin and having a thickness of about 1 micron to less than about 1 mm, the second resin layer comprising a resin; contacting the layer stack and a compression tool; and compressing the layer stack with the compression tool, to laminate the layers of the layer stack and form the filler-reinforced solid resin multilayered structure.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 2.24528
- Patent Class: 156.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15115298', '12081042', '12380617', '12081051', '10920235']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8984605368009186
- 35 USC 102 Novelty (BERT): 0.4952412157876363
- Combined Prediction Score: 0.8581386046995905
- Mean Citation Score: 176.28417199999996
- Max Citation Score: 193.8675
- Similarity Product: 121.79379080861808

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

Dataset: test