PATENT CLAIM ANALYSIS

Application Number: 15891454
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["435", "006120"]

Abstract:
Disclosed are compositions, assays, methods, diagnostic methods, kits and diagnostic kits for the specific and differential detection of  Mycobacterium avium  subsp.  paratuberculosis  from samples including veterinary samples, clinical samples, food samples, forensic sample, an environmental sample (e.g., soil, dirt, garbage, sewage, air, or water), including food processing and manufacturing surfaces, or a biological sample.

Claim (Index 8):
The method of  claim 7 , wherein the at least one primer set comprises at least one forward primer and the at least one reverse primer selected from: SEQ ID NO: 6 and SEQ ID NO: 7; or SEQ ID NO: 9 and SEQ ID NO: 10; or SEQ ID NO: 12 and SEQ ID NO: 13; or SEQ ID NO: 15 and SEQ ID NO: 16; or SEQ ID NO: 18 and SEQ ID NO: 19; or SEQ ID NO: 21 and SEQ ID NO: 22; or SEQ ID NO: 24 and SEQ ID NO: 25; or SEQ ID NO: 27 and SEQ ID NO: 28; or SEQ ID NO: 30 and SEQ ID NO: 31; or SEQ ID NO: 33 and SEQ ID NO: 34; or SEQ ID NO: 36 and SEQ ID NO: 37; or SEQ ID NO: 39 and SEQ ID NO: 40; or SEQ ID NO: 42 and SEQ ID NO: 43; or SEQ ID NO: 45 and SEQ ID NO: 46; or SEQ ID NO: 48 and SEQ ID NO: 49; complements thereof and primers having about 90% identity to the foregoing sequences.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 88.0
- Lexical Diversity: 1.64444
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14978243', '13785409', '13785531', '13788715', '12887403']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6910653595176185
- 35 USC 102 Novelty (BERT): 0.5540172350199427
- Combined Prediction Score: 0.6773605470678509
- Mean Citation Score: 393.99064
- Max Citation Score: 436.2992
- Similarity Product: 353.7079431869507

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

Dataset: test