Here's a short story:

Counterfeit goods, or false versions of products, may cost the government of Kenya as much as $1 billion each year. The fake goods also hurt business owners who find it hard to keep customers. But information technology is being used to try to stop the problem. Jemima Mwafigu is a 34-year-old businesswoman who sells products like perfume. But in the first year of running her business, she found it hard to keep customers because of counterfeit goods. 

Ms. Mwafigu says her business has improved since she began using a smart phone application called Barcode Scanner. The app is used to authenticate products. It checks to make sure the products are not counterfeit. 

"With this application I'm able to scan the bar codes of each perfume and instantly I get the production date, the _ and I'm able to know the safety," she says. "That way, I have confidence in selling to my customers." 

In 2010, Kenya created the Anti-Counterfeit Agency, or ACA, to fight against illegal trade. The ACA has successfully asked government officials for stronger punishments for counterfeiters. 

Agnes Karingu is the agency's acting director for research and awareness. She says the ACA is trying to stay one step ahead of those making fake goods. 

"We are also looking into IT solutions where we can be able to use SMS programs, bar codes and information sharing," she says. "The end users of the products will actually be able to get the authentication information, and this information comes back to ACA and intellectual property rights holders." 

The agency is testing another program called Allvirtuous. The application is another way to find out if a product is real or not by scanning its barcode. The barcode information is sent to a database. Then a result is sent back to the app. 

The International Chamber of Commerce is a global business organization. It says the value of counterfeit goods produced around the world is expected to be more than $1.7 trillion this year. (End of story)

Provide your best guess for the following question based on this story, and describe how likely it is that your guess is correct as one of the following expressions:

Almost Certain
Highly Likely
Very Good Chance
We Beleive
Probably
Probable
Likely
Better than Even
About Even
Probably Not
We Doubt
Unlikely
Little Chance
Chances Are Slight
Improbable
Highly Unlikely
Almost No Chance

Give ONLY the guess and your confidence, no other words or explanation. For example:

Guess: <most likely guess, as short as possible; not a complete sentence, just the guess!>
Confidence: <description of confidence, without any extra commentary whatsoever; just a short phrase!>

Here are a few examples of questions and answers:

Question: What are counterfeit goods?
Guess: false versions of products
Confidence: <appropriate level of confidence in this guess>

Question: Do they hurt business owners?
Guess: yes
Confidence: <appropriate level of confidence in this guess>

Question: What action has Kenya taken to prevent it?
Guess: created the Anti-Counterfeit Agency, or ACA
Confidence: <appropriate level of confidence in this guess>

Question: What has the ACA done?
Guess: successfully asked government officials for stronger punishments for counterfeiters
Confidence: <appropriate level of confidence in this guess>

Question: Has the Kenyan government lost much money due to counterfeiting?
Guess: yes
Confidence: <appropriate level of confidence in this guess>

Question: How much per year?
Guess: 1 billion dollars
Confidence: <appropriate level of confidence in this guess>

Question: Are there any tools business owners can use to prevent it?
Guess: yes
Confidence: <appropriate level of confidence in this guess>

Question: What?
Guess: a Barcode Scanner  application
Confidence: <appropriate level of confidence in this guess>

Question: What does that show?
Guess: the production date
Confidence: <appropriate level of confidence in this guess>

Now answer the following question in the same format.

Question: Who is the ACAS director?

Agnes Karingu