PATENT CLAIM ANALYSIS

Application Number: 15904044
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["424", "725000"]

Abstract:
Variable-scale, modular, easily manufacturable, energy efficient, reliable, and computer-operated farming superstructure systems (FSS) may be used to produce cannabis for human consumption with minimal water and environmental impact. Methods to method to separate volatiles from cannabis are described. Methods to asexually clone a plurality of cannabis plants are also provided.

Claim (Index 44):
The method according to  claim 29 , further including a method to evaporate the second solvent from the second volatiles and solvent mixture, the method includes:\n (a) providing:\n (i) an evaporator that is configured to evaporate the second solvent from the second volatiles and solvent mixture; \n (ii) a condenser that is configured to condense at least a portion of the vaporized second solvent; and \n (iii) a vacuum system that is configured to draw a vacuum on the condenser; \n (b) introducing the second volatiles and solvent mixture to the evaporator; (c) after step (b), evaporating at least a portion of the second solvent to form a vaporized second solvent; and (d) after step (c), condensing at least a portion of the vaporized second solvent under vacuum conditions.

Metadata:
- Claim Count in Document: 83.0
- Percentile: 88.0
- Lexical Diversity: 1.30435
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15841923', '15609472', '15651535', '15664490', '15841886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7610969370554463
- 35 USC 102 Novelty (BERT): 0.5491798514925184
- Combined Prediction Score: 0.7399052284991535
- Mean Citation Score: 304.88241000000005
- Max Citation Score: 447.2908
- Similarity Product: 258.67546766324045

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