Blame for README.md

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title: README
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		<p class="text-xl font-semibold mb-2">The AI engine for business.</p>

		<p>

			<strong>Market Standard</strong> is a full-service technology studio. We design, build, and

			ship production AI, computer-vision, and LLM systems &mdash; from custom models and data

			pipelines to the <a href="https://www.marketstandard.app/" class="underline">Standard Suite</a>

			of developer tools. On Hugging Face we publish our open-source research, beginning with Panoptes.

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		<img src="https://huggingface.co/spaces/MarketStandard/README/resolve/main/images/panoptes.svg" alt="Panoptes logo" class="w-14 h-14 shrink-0" />

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			<p class="font-semibold text-lg mb-1">Panoptes &mdash; calibrated evidence for AI-text attribution</p>

			<p class="text-sm text-gray-800">

				Our flagship open-source release reframes AI-text detection as <em>evidence, not verdicts</em>.

				Rather than a binary &ldquo;AI or not&rdquo; label, Panoptes estimates <em>how much</em> of a

				document is AI-authored, tells you how much to trust that estimate, and measures whether the

				evidence still holds up when the population shifts.

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		<p class="font-semibold mb-2">What it gives the community</p>

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			<li>A <strong>participation score</strong> (0&ndash;100% AI-authored) with split-conformal coverage &mdash; an estimate with valid uncertainty, not a false-precision verdict.</li>

			<li>A <strong>frozen, preregistered open-weights detector</strong> (three-seed DeBERTa-v3 ensemble) with verified hashes &mdash; a strong, reproducible baseline anyone can run.</li>

			<li>An <strong>evidence-transportability harness</strong> &mdash; cross-dataset leave-one-out and calibration-transfer matrices that quantify how scores and calibration generalize across MAGE, RAID, DeFactify, CoAuthor, M4GT, and EvoBench.</li>

			<li>A <strong>license-audited dataset registry and split manifest</strong>, so others can add cohorts and extend the corpus on solid legal footing.</li>

			<li>A <strong>preregistered protocol with signed cards</strong>, so every reported number is reproducible.</li>

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	<a href="https://www.marketstandard.app/" class="block overflow-hidden group">

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			<div class="text-2xl mb-1">&#127760;</div>

			<div class="font-semibold">marketstandard.app</div>

			<div class="text-xs text-indigo-100 mt-1">products &amp; platforms</div>

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		<div class="underline">Main site</div>

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	<a href="https://huggingface.co/MarketStandard/panoptes-neural-v1" class="block overflow-hidden group">

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			<div class="text-2xl mb-1">&#128065;</div>

			<div class="font-semibold">panoptes-neural-v1</div>

			<div class="text-xs text-slate-300 mt-1">open-weights neural detector</div>

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		<div class="underline">Model on the Hub</div>

	</a>

	<a href="https://github.com/marketstandard/Panoptes" class="block overflow-hidden group">

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			<div class="font-semibold">marketstandard/Panoptes</div>

			<div class="text-xs text-gray-300 mt-1">source, protocol &amp; benchmark</div>

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		<div class="underline">GitHub &amp; paper</div>

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