extract_entities returns score of 0

[sketing]

Expected Behavior

So, I'm using the named_entity_extractor, trained it on some data, then extracting entities from some data the model has never seen before using the extract_entities. Expecting to get back the extracted entities with their scores ranging 0-1

Current Behavior

The entities are extracted correctly, but the score is 0.

Steps to Reproduce

Train model, give it new data, get back score == 0

• Version: downloaded on 19th of July 2019
• Where did you get MITIE: Github
• Platform: 64 bit

[sketing]

How can I get a score in range 0-1?

P.S.
While debugging I called _f.mitie_ner_get_detection_score(dets,i) on different i values and it returned non-zero scores, but these where weird as well: -5.796280346157666e-309 and 1.07329375104e-311 one of which are negative. Is this behavior typical? If so, then how should one approach this to get a normalized score in the range of 0 to 1?