Sentence examples for training consensus from inspiring English sources

'training consensus' is correct and usable in written English.
You can use it when referencing an agreement among peers or colleagues about a certain training process or program. For example, "After extensive deliberation, the team came to a training consensus about the program's objectives and implementation timeline."

Exact(1)

By means of this standardized tutor training, consensus was achieved on how each skill should be taught and the different levels of experience among the tutors converged with each other, thus ensuring standardized teaching during the clerkship preparation skills course.

Similar(59)

Again, the probabilities generated by CNF models trained for different task could be utilized as features for training a consensus CNF model for a single task.

These probabilities, generated by CNF models trained by different combinations of feature classes, could be further utilized as features for training a consensus CNF model.

However, while some excellent manual medicine diagnostic studies exist, review articles indicate that findings often vary between studies because of methodological differences, different clinician experiences, lack of examiner training and consensus before the study, lack of concomitant comparisons between symptomatic and asymptomatic subjects, and lack of objective markers [ 7, 16– 16].

Thus, it is important to train a consensus predictor in a simple way, to prevent over-fitting of the data.

REBOUNDS During training camp, the consensus was that forward Sean Williams had impressed more than any player.

By common consensus, training in advanced CCE requires formal demonstration of competence, if possible with certification by an agency that is independent of the training system.

This study investigates the effect of consensus training of listeners on intrarater and interrater reliability and agreement of perceptual voice analysis.

The sequences were classified using the Naïve Bayesian Classifier (80% confidence threshold) using the RDP training set and consensus taxonomy of OTUs was determined using the 80% cutoff.

Several steps were taken to reduce potential biases in writing vignettes, including regular training and regular consensus reliability meetings.

The multicentre nature of the study, with common training and regular consensus reliability meetings, ensured that data were of high quality and findings generalizable.

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