PATENT CLAIM ANALYSIS

Application Number: 15893536
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["235", "375000"]

Abstract:
Nutritional substance systems and methods are disclosed enabling the tracking and communication of changes in nutritional, organoleptic, and aesthetic values of nutritional substances, and further enabling the adaptive storage and adaptive conditioning of nutritional substances.

Claim (Index 8):
A dynamic conditioning system for conditioning nutritional substances comprising:\n an input panel configured to receive information regarding a nutritional substance; an infrared temperature sensor positioned to sense a surface temperature of the nutritional substance and output sensor data; one or more conditioners; a database comprising a set conditioning protocols referenced to known nutritional substances, wherein each of the set of conditioning protocols comprise a sequence of steps for conditioning a referenced known nutritional substance, and wherein each step comprises different conditioning parameters for the one or more conditioners; a memory with machine executable code; a controller, comprising one or more processors, the one or more processors configured to execute the machine executable code to cause the processor to:\n receive, at the controller, a conditioning protocol from the database referenced to the nutritional substance; \n operating the conditioning parameters of the one more conditioners based on the conditioning protocol; and \n automatically advance, by the controller, the conditioning protocol between steps based on data output from the infrared temperature sensor.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 88.0
- Lexical Diversity: 1.56
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15276736', '14466824', '15226866', '14466805', '14667608']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.618074372685815
- 35 USC 102 Novelty (BERT): 0.580930229566374
- Combined Prediction Score: 0.6143599583738709
- Mean Citation Score: 476.820868
- Max Citation Score: 491.17078
- Similarity Product: 479.6609848918808

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

Dataset: test