{
  "docId": "019de073-8079-71bb-b12b-cbebf2163a3a",
  "docSlug": "9b4d00e952721e20753466aee3e72db7",
  "documentTitle": "BenevolentAI | Investor Day Presentation Deck | 74 slides",
  "authorId": "benevolentai",
  "authorName": "BenevolentAI",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2022-09-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 56,
  "pageCount": 74,
  "prevPage": 55,
  "nextPage": 57,
  "slideType": "propose_solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 1,
  "notes": "The slide outlines a drug discovery pipeline starting from a biological question, moving through computational target identification, and ending with experimental validation.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de073-8079-71bb-b12b-cbebf2163a3a/56",
  "deckHref": "/decks/019de073-8079-71bb-b12b-cbebf2163a3a",
  "deckJsonHref": "/decks/019de073-8079-71bb-b12b-cbebf2163a3a.json",
  "deckAnchorHref": "/decks/019de073-8079-71bb-b12b-cbebf2163a3a#slide-56",
  "components": [
    {
      "bbox": {
        "h": 0.7,
        "w": 0.9,
        "x": 0.05,
        "y": 0.2
      },
      "kind": "diagram",
      "text": "1. Biological Question, 2. Predictive algorithms, 3. Target assessment, 4. Experimental validation",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0afdaad0-7e3c-40ea-90b0-eddbf09aad95",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.2,
        "x": 0.67,
        "y": 0.45
      },
      "kind": "image",
      "text": "Laptop showing target validation interface",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ce973bfd-3a1d-47c6-8b76-affed0b786a4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.05,
        "x": 0.52,
        "y": 0.55
      },
      "kind": "metric",
      "text": "200",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7c3e1991-a5b2-4e11-89d0-b75f262b407c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.25,
        "x": 0.07,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "Can we treat UC by reversing chronic inflammation of the colonic mucosa by targeting pathways in colon epithelial cells and tissue resident immune cells?",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "24d5864f-712a-4bd5-86ee-c7f6295815b7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "UC Target Identification workflow",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3302b424-5248-4e34-8b8e-0a669dd777cf",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Hypothesis-Driven Structure",
      "slug": "hypothesis-driven-structure",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "fde12e14-65f2-4483-902c-63faeab2c788",
      "evidence": "diagram/process: 1. Biological Question, 2. Predictive algorithms, 3. Target assessment, 4. Experimental validation",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "process",
      "slug": null,
      "matchId": "e5ce150f-5da6-4002-b461-f3f5e1e764ec",
      "evidence": "Sequential numbered steps 1-4",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 74,
      "from": 8,
      "beatId": "e075ee7a-56af-49ed-87dd-38efd7ca183a",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Solution (Provide relief)",
      "beatSlug": "problem-agitate-solution-solution-provide-relief",
      "evidence": "The Benevolent Platform™: a versatile, scalable and proven AI-enabled R&D engine",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}