A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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Accept
header
to the server to view the underlying object.
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"content": "<p>Delighted to see Marcus's paper on "Limits to ecological forecasting: Estimating uncertainty for critical transitions with deep learning" is now out <a href=\"https://doi.org/10.1111/2041-210X.14013\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">doi.org/10.1111/2041-210X.14013</span><span class=\"invisible\"></span></a> .</p><p>We look at the challenge of making quantitative, probabilistic forecasts when underlying dynamics involve strong nonlinear phenomena:</p><p><a href=\"https://mastodon.social/tags/ecology\" class=\"mention hashtag\" rel=\"tag\">#<span>ecology</span></a> <a href=\"https://mastodon.social/tags/OA\" class=\"mention hashtag\" rel=\"tag\">#<span>OA</span></a> <a href=\"https://mastodon.social/tags/forecasting\" class=\"mention hashtag\" rel=\"tag\">#<span>forecasting</span></a> 🧵</p>",
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"en": "<p>Delighted to see Marcus's paper on "Limits to ecological forecasting: Estimating uncertainty for critical transitions with deep learning" is now out <a href=\"https://doi.org/10.1111/2041-210X.14013\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">doi.org/10.1111/2041-210X.14013</span><span class=\"invisible\"></span></a> .</p><p>We look at the challenge of making quantitative, probabilistic forecasts when underlying dynamics involve strong nonlinear phenomena:</p><p><a href=\"https://mastodon.social/tags/ecology\" class=\"mention hashtag\" rel=\"tag\">#<span>ecology</span></a> <a href=\"https://mastodon.social/tags/OA\" class=\"mention hashtag\" rel=\"tag\">#<span>OA</span></a> <a href=\"https://mastodon.social/tags/forecasting\" class=\"mention hashtag\" rel=\"tag\">#<span>forecasting</span></a> 🧵</p>"
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"name": "Simulated timeseries of nonlinear phenomena we attempt to forecast: A hopf bifurcation, where oscillations suddenly emerge, a saddle-node bifurcation, showing a sudden collapse, and a stochastic transition between stable states. Observed data in purple prior to the transition, true distribution of outcomes after transition shown in yellow)",
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