Categorisation of subjects was made independently by two members of the study team (ML and SD) blind to the biomarker results and any disagreements were resolved by discussion.
Taken together with the first point above, we suggest that future work in this area should consider longer periods at maximum tolerated doses of SRI's prior to categorisation of subjects as treatment refractory.
Academic libraries in the US use subject categorisation derived from Sir Francis Bacon's 17th-century division of all knowledge into imagination, memory and reason.
Also sentiment analyses (i.e. categorisation of content entities as positive, negative or neutral), which use to be very widespread with commercial SMAT, can be problematic and often not applicable for SMAT for government that deal with value-laden subjects such as migrant integration.
At the bottom level of categorisation are very specific subjects such as interest rates, war crimes, Kate Moss and thousands of others.
Then the two sets of coded texts were compared and the researchers agreed upon a system of categorisation based on recurrent subjects in the keywords.
These were excluded due to difficulties with study categorisation.
Data collected by OPCRIT+ in the electronic case record are subject to automatic anonymisation and categorisation via an electronic search engine called the Case Register Interactive Search (CRIS), recently developed by Stewart et al. The OPCRIT+ checklist is a development and expansion of the OPCRIT checklist, a well-established and well-validated tool in research settings.
Cut off values for SCC to determine subclinical mastitis have been a subject of debate [ 41], therefore in this study a second categorisation level for SCC was used based on suggestions of Schwarz et al. and Berglund et al. [ 42, 43] (healthy samples- SCC <100,000 cells/ml; SM samples -SCC 101,000 200,000 cells/ml; clinical mastitis (CM) samples-SCC >200,000 cells/ml).
Subsequently, a multi-dimensional analysis was performed which cross-referenced the key subject areas with an earlier categorisation of the same errors using GEMS.
