I made two sensitive runs of CASAL catch at length models (LENGTH_MODEL) for stock status assessments of *Dissostichus eleginoides *in research block 5843a_1 in Division 58.4.3a for the years 2004/05 to 2012/13 following the recommendation during the last WG-SAM meeting. The two models are generally based on those with the same names in WG-SAM-14/17 as follows: 1) R.0.1 model without tagging events before 2008, and 2) R.1 model including all tagging events (years 2005-2012). These models were comprised of two fisheries split by depths of 1 200 m as the model in WG-SAM-14/17. Number of longlines was used as (unknown) multinomial sample size for each model. The over-dispersion for the tag-recapture likelihoods was estimated using a mean-based weighting method for each model. The other common conditions between the two models were set as follows: year class strength (YCS) was fixed; parameters of ALK were fixed; parameters of selectivity for legal fishery were estimated; uniform prior was used for initial biomass (*B*_{0}) estimate.

The MPD estimate of *B*_{0} was 464 and 772 tonnes in R.0.1 and R.1 models, respectively. The current vulnerable biomass was 647 and 1 201 tonnes, respectively. The median MCMC estimates for the biomasses (490 and 810 tonnes) were slightly higher than those by MPD for each model. MCMC posterior traces for *B*_{0} seem to be rather convergent for each model.

Further sensitive runs for R.1 model (R.1_DER_MODEL) were examined using six options changing conditions, i.e. estimate/fix for given parameters, uniform-log prior for *B*_{0}, and multinomial-based weighting for tag-recapture. The difference of median estimate of *B*_{0} between MPD and MCMC and the range of MCMC were considerably large for R.1_2 model, which used multinomial-based weighting for tag-recapture that lead to quite high value of dispersion.