Next, we investigated a full decision tree, that is, the depth was not restricted. The full tree is available at GitHub. Different decision nodes corresponding to well-known trends were found by analyzing the full tree. For instance, multiple decision nodes stating that ether solvents give preferentially the α-anomer were found. However, these were often deep in the branches, and some nodes also implied that ether solvents give the β-anomer, indicating that the ether effect is low in the hierarchy of rules, and one should take caution when excluding ether solvents in solvent screenings. Another common decision node was the querying of the donor's anomeric configuration, i.e., an indication for stereospecific glycosylations. The influence of the anomeric configuration of the donor is often not investigated, and the donor is often a mixture of anomers. It has long been well-known that the anomeric configuration of the donor is important in SN2-like glycosylations , though the decision tree indicates that it might be a factor even in glycosylations assumed to go through a more oxocarbenium ion-like intermediate, which is also backed up by recent literature. The model also correctly identified mannopyranosyl uronic acid donors as β-selective , which is not intuitive when compared to the mainly α-selective mannopyranoside donors. When looking for undiscovered trends, the key challenge is to differentiate between factors that merely correlate and factors that may be causal. The use of different species or conditions can be highly intercorrelated, e.g., co-appearance within one publication or methodology, and so we sought to elucidate trends with evidence across multiple publications and reaction conditions. We required that a decision node be based on more than one publication and that the substrate scope for the reactions in the following leaves be broad (e.g. different leaving groups, catalysts, or protection group patterns depending on the deciding reaction component).