ERROR RATES. Recognizing the subjective nature of a custom-made floral order, to the extent that an error does occur or is alleged to occur by an AOL Member, FLOWERS will rectify the situation as set forth in Exhibit E. FLOWERS will use its best efforts to achieve an error rate on orders taken through the AOL Network that does not exceed [****] (the "Performance Standard"). For purposes of this paragraph, an "error" is defined as an order that, due primarily to the failure of FLOWERS or its florists, (i) is not delivered pursuant to FLOWERS customary delivery schedules, (ii) is delivered to an incorrect location, (iii) or does not arrive in reasonably good condition. In the event that FLOWERS fails to meet the Performance Standard, as determined on a monthly basis, for a period of two consecutive months, then AOL shall send FLOWERS a written notice specifying the details of any such failures and affording FLOWERS thirty (30) days to comply with the Performance Standard. If FLOWERS does not cure said default within thirty (30) days then AOL shall have the right to terminate this Agreement. Flowers agrees to use best efforts in correcting any problems reported by AOL and will act accordingly to correct any problems. FLOWERS will provide a monthly report to AOL no later than thirty (30) days after the end of each calendar month that shows all known errors and measures the rate of properly-completed orders versus orders processed with an "error" (as defined above). Without limiting the foregoing, in the event (a) the error rate achieved by FLOWERS is above [****] but below [****] and (b) AOL receives a significant number of complaints from AOL Members **** Represents material which has been redacted and filed separately with the Commission pursuant to a request for confidential treatment under Rule 406 of the Securities Act of 1933, as amended. regarding errors, the parties shall discuss in good faith the means by which the error rate may be improved.
ERROR RATES. Obtained age estimations have variable error margin, which in general increase in older specimens. For example, in the seabass study, the mean error rate is of 2.15 years; analysing this error rate per sample we have extreme cases were a 3-year-old fish is estimated to be 6.5 years old, a 5.8 year old fish is estimated to be 2 years old and a 10.5 year-old fish is estimated to be 6 years old (Table 2). Table 2: Minimum and maximum epigenetic-clock predicted age for the 5 oldest age classes in seabass Chronological age Predicted age (min) Predicted age (max) 3.07 3 6.5 4.17 2.75 4 5.83 2 5 6.75 4 6.5
