PATENT CLAIM ANALYSIS

Application Number: 15892433
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["062", "067000"]

Abstract:
Embodiments generally relate to methods and apparatuses for generating ice. In one embodiment, at a generation location, a material is introduced to water, and the temperature of the combination of the water and the material is lowered until ice forms; then at a target location, the formed ice is deployed on a top surface of a body of water, or of a pre-existing body of ice, or of ground. The formed ice has an albedo greater than or equal to 0.15. The formed ice contains light scattering centers created by the introduced material. The material comprises hollow particles.

Claim (Index 1):
A method for generating ice and deploying the ice at a target location, the method comprising:\n at a generation location, introducing a material to water and lowering the temperature of the combination of the water and the material until ice forms, wherein the material is selected such that the formed ice has an albedo greater than or equal to 0.15; and at the target location, deploying the formed ice on a top surface of a body of water, or of a pre-existing body of ice, or of ground; wherein the formed ice contains light scattering centers created by the introduced material; and wherein the material comprises hollow particles.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.86441
- Patent Class: 62.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15892434', '14259114', '15892435', '12704956', '10310455']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7750852470655912
- 35 USC 102 Novelty (BERT): 0.4409860236575105
- Combined Prediction Score: 0.7416753247247831
- Mean Citation Score: 124.8482768
- Max Citation Score: 146.89853
- Similarity Product: 135.78460892361403

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