PATENT CLAIM ANALYSIS

Application Number: 16166893
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["540", "529000"]

Abstract:
This invention provides efficient and scalable enantioselective methods that yield 2-alkyl-2-allylcycloalkyanone compounds with quaternary stereogenic centers. Methods include the method for the preparation of a compound of formula (I): comprising treating a compound of formula (II) or (III): with a palladium (II) catalyst under alkylation conditions.

Claim (Index 44):
The method of  claim 43 , wherein the compound of formula (I) is represented by formula (Ia): and\n the compound of formula (II) is represented by formula (IIa): \n and\n the compound of formula (III) is represented by formula (IIIa): \n wherein: B, D, and E independently for each occurrence represent, as valence permits, O, S, NR 6 , CR 7 R 8 , C(O), CR 7 , or N; provided that no two adjacent occurrences of W, B, D, and E are NR 6 , O, S, or N; or any two occurrences of R 6 , R 7 , and R 8  on adjacent W, B, D, or E groups, taken together with the intervening atoms, form an optionally substituted aryl, 5- to 10-membered heteroaryl, cycloalkyl, cycloalkenyl, 5- to 10-membered heterocyclyl, or (5- to 10-membered heterocyclyl)alkenyl; each occurrence of  independently represents a double bond or a single bond as permitted by valence; and m and n are integers each independently selected from 0, 1, and 2.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 97.0
- Lexical Diversity: 1.41463
- Patent Class: 540.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15081157', '14972475', '14514001', '16049434', '15366590']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7418968051184326
- 35 USC 102 Novelty (BERT): 0.5868806327386671
- Combined Prediction Score: 0.726395187880456
- Mean Citation Score: 435.802444
- Max Citation Score: 525.8457
- Similarity Product: 389.00900822723503

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

Dataset: test