static L<GazelleTree> gazelle_getChildren(GazelleTree tree, O... _) {
  if (tree == null) null;
  if (tree.children != null) ret tree.children;
  
  tree.children = new L;
  
  double qualityCutOff = optPar qualityCutOff(_, -0.75);
  LS dialogHistory = optPar dialogHistory(_);
  
  // make rule engine etc.
  if (tree.ctx == null)
    tree.ctx = assertNotNull('evalContext, (GazelleEvalContext) callF(assertNotNull('makeEvalContext, optPar makeEvalContext(_))));
  GazelleEvalContext ctx = tree.ctx;
  RuleEngine2 engine = ctx.engine;
  
  SS inputMap = litmap(standard := tree.line);
  LS history = concatLists(dialogHistory, tree.history());
  for (int i = 0; i < l(history); i++)
    inputMap.put("dialog-" + (l(history)-i), history.get(i));
    
  // Splitters
  
  for (RuleEngine2.SimplifyWithRule rule : engine.splitterRules()) pcall {
    O f = rule.function();
    Collection<S> out = cast(f instanceof S
      ? callF(engine.callFunctionOnString, (S) f, tree.line)
      : callF(f, tree.line));
    if (l(out) < 2) continue;
    
    GazelleTree child = new(joinWithVBar(out));
    child.isSplitNode = true;
    tree.add(child);
    
    for (S line : out)
      child.add(GazelleTree(line));
  }
  
  // Other rules
    
  L<RuleEngine2_MatchedRule> l = sortByMethodDesc qualitySum(ai_ruleEngine2_rulesForInput_5_allConditions(engine, inputMap, debug := false, +tree));
  //print("Got rules: " + l(l));
  
  for (RuleEngine2_MatchedRule r : l) {
    if (r.relativeQuality() < qualityCutOff) continue;
    S line = r.outText();
    
    GazelleTree child = new(line);
    child.parent = tree;
    child.ctx = tree.ctx;
    child.mr = r;
    
    ai_gazelle_analyzeStatementsForRule_Data data = ctx.dataByRule.get(r.rule.globalID);
    child.prediction = data == null ? null : ai_gazelle_predictor1_onData(r, data);
    children.add(child);
  }
  sortByCalculatedFieldDesc(children, func(GazelleTree c) -> int { ai_goodBadToInt(c.prediction) });
  ret tree.children;
}