Term #2,264
Quality assessment
Claim Term
Quality assessment
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
7/15/25
Created
7/15/25, 4:43 PM
Modified
7/15/25, 4:45 PM
Full Desc
"Quality assessment" refers to a form of assessment that evaluates the degree to which a subject, such as a manuscript, system output, data set, model result, or process outcome, satisfies predefined or context-sensitive standards of quality. Synonyms for “quality assessment” may include quality evaluation, quality review, performance appraisal, standard compliance check, or the like. A quality assessment may be based on one or more criteria such as clarity, completeness, accuracy, consistency, originality, readability, technical soundness, recency criteria, or alignment with domain-specific norms or publisher guidelines. The criteria used may be fixed, adaptive, or learned from data. A quality assessment may be conducted by a human evaluator, an automated system, an artificial intelligence module, or a combination thereof. In artificial intelligence systems, a quality assessment may include computing similarity metrics, analyzing coherence, fluency, or informativeness of generated text, or determining whether the output meets specified objectives. The results of a quality assessment may include a rating, score, rank, flag, editorial comment, or the like, and may inform subsequent decision-making or further processing steps. The quality assessment may be domain-specific and applied within workflows involving content moderation, peer review, machine-generated text evaluation, or other review processes. (Defined in conjunction with ChatGPT 4o Version, July 15, 2025.)
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |