// The explanatory blurbs under each tool. Shared by the home page and the sample-dog profile so the
// wording (and the quoted accuracy figures) can only ever be changed in one place.

/** Under "Image matching": how the search works and how to read the scores. */
export function MatchingNote() {
  return (
    <p className="text-xs text-gray-500 mt-3 leading-relaxed">
      <span className="font-medium text-gray-700">How it works:</span> A model turns each image into
      a feature vector (a list of numbers) describing the dog. This is used like a fingerprint.
      Visually similar dogs have similar features, so comparing features against the found-dog
      database enables the tool to rank the closest look-alikes. The top 10 matches are always
      returned, and the higher the score, the closer the match. If a dog is in the database, it is
      usually returned as the top match or, at worst, should be among the top 10 matches over 95% of
      the time. If all the scores are low, the dog is likely not in the database.
    </p>
  );
}

/** Under "Breed estimation": what it predicts, how to read the scores, and that it is separate. */
export function BreedNote() {
  return (
    <>
      <p className="text-xs text-gray-500 mt-3 leading-relaxed">
        <span className="font-medium text-gray-700">How it works:</span> The breed classification
        model attempts to predict a dog breed from an image. The higher the score, the more confident
        the model is about a specific breed prediction. The top 10 breed guesses are always shown
        even if most of the scores are very low. This does not imply a mixed breed dog. Many breeds
        have similar visual features and photo angles vary, so the correct breed isn&rsquo;t always
        ranked first. However, for clear, known breed photos the correct breed should be listed in
        the top 10 over 95% of the time. We don&rsquo;t have accuracy stats on mixed breed images,
        but the model will certainly surface breeds with similar features.
      </p>
      <p className="text-xs text-gray-500 mt-2 leading-relaxed">
        <span className="font-medium text-gray-700">Note:</span> The breed classification model is
        entirely separate from image matching and is included here mainly for fun and interest.
      </p>
    </>
  );
}