PATENT CLAIM ANALYSIS

Application Number: 15744153
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["162", "181300"]

Abstract:
The present invention relates to the chemical composition of an anti-corrosion mineral paper which consists mineral powders, anti-static agents, UV inhibitors, synergistic corrosion inhibitors and synthenic polymers binder.

Claim (Index 11):
A chemical composition for anti-corrosion mineral paper as in  claim 6  wherein Synergistic Corrosion Inhibitors consist of Benzotriazole, (1,2,4-triazole, 1H-benzotriazole, benzothiazole, benzimidazole, benzoxazole, 2,2\u2032-biquinoline, nitrone, 2,5-dimercapto-1,3,4-thiadiazole, and 2,9-dimethylphenanthroline, 1H-benzotriazole, 5-methylbenzotriazole, 5-carboxybenzotriazole, 2-alkylbenzothiazole, 2-mercaptobenzothiazole, 2-mercaptobenzothiazolesuccinic acid, be 2-alkylbenzimidazole, 2-(5-aminopentyl) benzoxazole, and 2-mercaptobenzoxazole, 1-phenyl-5-mercapto-1,2,3,4-tetrazole (PMT), Tolytriazole, Thiazole and derivatives 5-benzylidene-2,4- dioxotetrahydro-1,3-thiazole (BDT); 5-(4\u2032-isopropylbenzylidene)-2,4-dioxotetrahydro-1,3-thiazole (IPBDT); 5-(3\u2032-thenylidene)-2,4-dioxotetrahydro-1,3-thiazole (TDT) and 5-(3\u2032,4\u2032- dimetoxybenzylidene)-2,4-dioxotetrahydro-1,3-thiazole (MBDT) as copper corrosion inhibitors.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 1.14286
- Patent Class: 162.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12943185', '12943117', '13720753', '13393533', '09957767']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7216525975742926
- 35 USC 102 Novelty (BERT): 0.487065273569072
- Combined Prediction Score: 0.6981938651737705
- Mean Citation Score: 195.485306
- Max Citation Score: 199.56728
- Similarity Product: 127.5702276271343

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

Dataset: test