ACH is a methodology which scores Inconsistency but doesn’t score Consistency. At most it says that evidence is really not consistent with the outcome, without opining on whether it is consistent.https://en.wikipedia.org/wiki/Analysis_of_competing_hypotheses http://competinghypotheses.org/docs/ACH,_Step_By_Step has Credibility and Relevance scores
The Xerox ACH implementation http://www.pherson.org/PDFFiles/ACHTechnicalDescription.pdf
has Credibility and Relevance scores of Low=1/sqrt(2), Medium = 1 and High = sqrt(2). The Consistency score is Very Inconsistent = -2, Inconsistent=-1, and Neutral, Consistent and Very Consistent are 0. The Weighted Inconsistency Score is Credbility * Relevance * Consistency. So any evidence item which is not inconsistent gets a weight of 0.
For my ACH-ish model, as applied to rationales with comments supplied for forecasts, I will weight as follows. Let the forecast be F. Assign Credibility and Relevance scores of Low=1/(2sqrt(2)), Medium = 1/sqrt(2), and High = 1. Let the Consistency score C be -1,-1/2,0,1/2,1. Let W = Credibility * Relevance. Then my ACH-ish-model weighted forecast will be W100*(C+1)/2 and ignore the original forecast in the formula, just looking at it as a shorthand for the text and how to view the import of the text.
So far I see 74 forecasts for FARC of which 32 have rationales. My model for FARC is ACH-ish as above. The Consensus has been towards 0 on FARC except it just picked up a little. The early comments on FARC anticipated that pick-up.