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    "story_id": "mp-2026-10-27-015",
    "source_story_id": "tmp-brief-respiratory-feature-scaling",
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    "headline": "Thirty Scaled Features Match the Deep Respiratory Model",
    "slug": "thirty-scaled-features-match-the-deep-respiratory-model",
    "dek": "In patient-grouped evaluation, standardized SVM features reached 0.78 macro recall without a 449-megabyte deep-learning runtime.",
    "summary": "In patient-grouped evaluation, standardized SVM features reached 0.78 macro recall without a 449-megabyte deep-learning runtime.",
    "body_text": "On 1,211 respiratory clips from 201 patient groups, standardizing 30 audio-summary features moved an SVM from 0.51 to 0.78 macro recall—a 27-point effect larger than the measured architecture gap. Deep and classical models were not statistically separated, while clip-level splits inflated recall by 7.5 to 9.8 points. The dataset also carries recording-source confounding, which the authors identify as a main limitation.",
    "why_it_matters": "In patient-grouped evaluation, standardized SVM features reached 0.78 macro recall without a 449-megabyte deep-learning runtime.",
    "limitations": [
      "Deep and classical models were not statistically separated, while clip-level splits inflated recall by 7.5 to 9.8 points."
    ],
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    "first_published_at": "2026-10-27T09:00:00.000-04:00",
    "modified_at": "2026-10-27T09:00:00.000-04:00",
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        "text": "In patient-grouped evaluation, standardized SVM features reached 0.78 macro recall without a 449-megabyte deep-learning runtime.",
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        "qualification": "Deep and classical models were not statistically separated, while clip-level splits inflated recall by 7.5 to 9.8 points."
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    "source_ids": [
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    "tags": [
      "health AI",
      "audio",
      "low-resource clinics"
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  "sources": [
    {
      "source_id": "source-2026-10-27-017",
      "title": "arXiv preprint 2610.33030, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.33030v1",
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      "published_at": "2026-10-25T20:00:00.000-04:00",
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  "cite_this_report": {
    "title": "Thirty Scaled Features Match the Deep Respiratory Model",
    "publisher": "The Machine Press",
    "published_at": "2026-10-27T09:00:00.000-04:00",
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