#modelselection
Live, measured metrics for the hashtag #modelselection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modelselection
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-13 14:03 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-13 14:03 UTCNo related tags with measured usage found for #modelselection.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-13 14:03 UTCEverything below is measured over the latest 40 public posts (spanning ~7232 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (40)
Avg boosts / post: 0.2
Top of the latest posts
#statstab #587 Checking model assumption {easystats} Thoughts: The {performance} package is great at a one-function plot for assunptions. Good explanations also (bug theory limited). #rstats #assumptions #linearity #linearmodel #r #modelsel
#statstab #656 {lavinteract}: Post-Estimation Utilities for 'lavaan' Fitted Models Thoughts: "Companion toolbox for structural equation models fitted with 'lavaan'" #lavaan #sem #modelselection #modelfit #r2 #FDR #VIF #latent #rstats #r htt
via #AIFoundry : Content Understanding adds GPT-5.6, GPT-6, and GPT-6.1: Choose the right model for your workload https://ift.tt/6s8QXcn #AzureContentUnderstanding #MicrosoftFoundry #GPT6 #GPT61 #GPT56 #AI #GenerativeAI #ModelSelection #Doc
#modelselection across platforms
every network with a public tag surfaceFollow #modelselection straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/modelselection