Metadata and Rcode for: Objective carcass grading for bovine animals based on carcass length
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["beef","bovine animals","carcass grading","conformation","EUROP","fat","prediction"]} <|eot_id|>
 Here is the Description of a dataset. Description:'R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no).The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers
beef; bovine animals; carcass grading; conformation; EUROP; fat; prediction