PATENT CLAIM ANALYSIS

Application Number: 15302610
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["705", "007290"]

Abstract:
The present invention provides a method for selecting a petfood having both a palatability effect and a calorie intake reducing effect for pets, said method being based on a specific analysis of data collected in a pet feeding trial. The present invention further provides an automated pet feeding system for use in a pet feeding trial according to such a method, as well as a method for feeding a pet with a petfood having both a palatability effect and a calorie intake reducing effect for pets.

Claim (Index 12):
A method for selecting a petfood having both a palatability effect and a calorie intake reducing effect for pets comprising:\n a) providing at least one candidate petfood; b) providing at least one control petfood having a reference level of both palatability effect and calorie intake; c) separately testing each petfood of steps a) and b) in a monadic feeding trial, whereby collecting per pet at least:\n petfood data; \n feeding event data; \n feeding trial time data; and \n pet identification data; \n said method being characterized in that it further comprises: d) calculating criteria (crit) per pet and for each petfood, said criteria comprising:\n total calorie consumption throughout the feeding trial (tC); \n duration between the start of the feeding trial and the first feeding event (DFE1); and \n total number of feeding events with low or no consumption during the feeding trial (NbFElow); \n and optionally one or more additional criteria selected from:\n calorie consumption at the first feeding event (CFE1); \n calorie consumption per feeding event throughout the feeding trial (CFE x ); and \n cumulative calorie consumption per regular time period throughout the feeding trial (CTP y ); \n e) calculating:\n \u0394crit=crit(candidate petfood)\u2212crit(control petfood) per pet, for the criteria calculated in step d); \n f) calculating: \u0394crit mean  as a mean of all \u0394crits calculated per pet in step e); g) if \u0394tC mean \u22650, and either \u0394DFE1 mean >0 or \u0394NbFElow mean >0, then not selecting the candidate petfood as said candidate petfood has no calorie intake reducing effect for pets and as it is not as palatable as the control petfood; or h) if \u0394tC mean \u22650, \u0394DFE1 mean \u22640 and \u0394NbFElow mean \u22640, then not selecting the candidate petfood as said candidate petfood has no calorie intake reducing effect for pets although it is at least as palatable as the control petfood; or i) if tC mean <0, and either \u0394DFE1 mean >0 or \u0394NbFElow mean >0, then not selecting the candidate petfood as said candidate petfood is not as palatable as the control petfood although it has a calorie intake reducing effect for pets; or j) if \u0394tC mean <0, \u0394DFE1 mean \u22640 and \u0394NbFElow mean \u22640, then selecting the candidate petfood as said candidate petfood has a calorie intake reducing effect for pets and as it is at least as palatable as the control petfood.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 91.0
- Lexical Diversity: 2.04545
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13378856', '12249560', '14244663', '10339349', '10070526']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0853579458171543
- 35 USC 102 Novelty (BERT): 0.4934803764908834
- Combined Prediction Score: 0.1261701888845272
- Mean Citation Score: 155.25501200000005
- Max Citation Score: 163.95285
- Similarity Product: 103.9894087362349

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