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@TrevorGoodchild >Data on de novo mutations from 1247 Icelandic trios (14) were used to train a model that predicts the effect of both maternal and paternal age on the mutation spectrum. (B) Data from 25.3 million segregating variants whose date of origin was estimated using GEVA (15) were used to assess the mutation spectrum at different periods in the past. The mutation spectrum from each time period (bin) was used as input to the model from (A) to estimate the generation interval for males and females. (C) Differences in the frequency of each of the six different mutation types through time, as compared to the most recent time period (smoothed lines from local regression). Figure S15 presents the absolute frequencies of the same mutation data over time.

https://www.science.org/doi/10.1126/sciadv.abm7047

SO ARE THEY TRAINING A MODEL ON GENOMES FROM 1247 SAMPLES FROM ICELAND
THEN THEY'RE GETTING A GIANT SAMPLE OF GENOMES FROM SOME DATABASE AND APPLYING THE MODEL BUILT ON THE ICELANDIC SAMPLE TO THEM

I DONT KNOOOOOOOOW
>We noticed you were using AI for some fucking insane reason

I know a Labubu who knows a Labubu who has an insider perspective on the academic/scientific publishing industry and he tells me pretty much everything is written by AI now, especially if it’s from India or China (which is if not a majority of papers then it’s certainly enough that the industry would collapse if these papers were categorically rejected for common sense racism/anti AI reasons) they typically sign some disclosure that says something like “I super promise i just used ai to help me with structuring sentences and with grammar because english is not my first language please understand, the scientific work was all done for real properly by the authors” and nobody asks too many questions because if anyone starts asking a lot of questions they’ll probably go under.