python - gensim Latent Dirichlet Allocation minimum_probability vs print_topics -

my question related post, document topical distribution in gensim lda, documentation gensim.models.ldamodel states "minimum_probability controls filtering topics returned document (bow)." however, ldamodel[corpus] returns possible topics probability (even below number set in minimum_probability). difference between these two? python 2.7.5 gensim 0.13.3

thank you

my understanding of the documentation minimum_probability can both parameter of model generation (applied queries afterwards) , querying interface, e.g. get_document_topics(bow, minimum_probability=none, ....). unless trained minimum_probability parameter model[doc_bow] not trim on probability.