A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
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"id": "https://mastodon.social/users/cboettig/statuses/109321283910239430",
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"published": "2022-11-10T20:00:11Z",
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"content": "<p>We explore performance of various ML techniques against the idealized situation of Bayesian parameter estimation given the model structure (MCMC). Obviously prediction is incredibly difficult in this context, especially with few a priori model assumptions. Given this, some ML techniques due surprisingly non-terribly, though usually underestimate uncertainty (as you would expect):</p>",
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"name": "Forecasts of host-parasitoid abundance using both process-based model and various ML techniques. The former underestimate emerging oscillations while the latter over-estimates them. ",
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