The phrase "achieved a model" is correct and usable in written English.
It can be used when discussing the successful development or attainment of a specific model, often in contexts like research, engineering, or business.
Example: "After months of hard work, the team finally achieved a model that accurately predicts consumer behavior."
Alternatives: "developed a model" or "created a model."
After outlining the method through which this can be achieved, a model of pedagogies is developed.
"In the end, we've achieved a model that closely replicates the factors that elicit anorexic behavior in humans," said lead author Moneek Madra, PhD, a lecturer in the Institute of Human Nutrition at CUMC.
The goal was achieved: a model that could effectively take the Facebook likes of its subjects and work backwards, filling in the rest of the columns in the spreadsheet to arrive at guesses as to their personalities, political affiliations and more.
Notable Project Successes Although the project did not accomplish its most visible objective of a new juvenile justice law, it has achieved a model democratic drafting process, a draft law that should conform to all relevant international standards, and the strong probability of the law's passage in the coming months.
"Each course at Harvard has helped me research, develop, and prototype different business ideas to achieve a model for creating a lasting social impact," Valerie says.
Providing patient access to their personal health information is also cited as a way of achieving a model of patient-centred care [ 31].
This phenomenon may imply that there is no need to estimated every parameters accurately to achieve a model with equivalent dynamical properties with a good degree of accuracy.
Therefore, we crossbred two genetically modified mouse strains to achieve a model expressing both atherosclerosis and characteristics of type 2 diabetes (63).
However, the physical modeling required us to make multiple assumptions about the biomechanics of the tail, and we wanted to avoid simply tweaking parameters to achieve a model that would fit the data.
Application of a set of covariates for adjustments was identified using the Directed Acyclic Graph (DAG) approach [ 24], which is able to achieve a model selection accounting for a conceptual causal relationship.
Theoretically sound modification indices were applied incrementally with χ analyses indicating significant improvements at each step to achieve a model that was a good fit to the data [ 23].
