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Pipeline run

54dacb1d-02ce-41f8-9f5a-681a20d67318

Pipeline LLM cost (USD)
API 1: $0.0024 API 2: $0.0000 API 3: $0.0000 Total: $0.0024

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (3)
Ethnography Qualitative Research Scuba
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
Conduct ethnographic studies of robot-marine-life interaction Author cultural impact reports Coordinate with marine biology and anthropology research labs Ethnography, qualitative research, scuba certification

Signals

Skill
Alias
KRA frontend-engineer
0.36
Status: extract_from_jd_done Created: 2026-05-18T21:27:15.588678Z Updated: 2026-05-18T21:27:15.588678Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Underwater Robotics Ethnographer

Responsibilities:
- Conduct ethnographic studies of robot-marine-life interaction
- Author cultural impact reports
- Coordinate with marine biology and anthropology research labs

Skills: Ethnography, qualitative research, scuba certification

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Ethnography Primary No API 2 row (run stopped after API 1 or history missing)
Qualitative Research Primary No API 2 row (run stopped after API 1 or history missing)
Scuba Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleUnderwater Robotics Ethnographer
DomainOther
JD type pass

Certifications

scuba certification
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [
    "scuba certification"
  ],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": null,
    "raw": null
  },
  "job_locations": [],
  "role": "Underwater Robotics Ethnographer",
  "role_archetype": "Other",
  "roles_and_responsibilities": [
    {
      "bullet_count": 3,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Conduct ethnographic studies of",
        "last_5_words": "anthropology research labs"
      },
      "text": "Conduct ethnographic studies of robot-marine-life interaction\nAuthor cultural impact reports\nCoordinate with marine biology and anthropology research labs",
      "word_count": 24
    },
    {
      "bullet_count": 0,
      "heading": "Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Ethnography, qualitative research, scuba",
        "last_5_words": "research, scuba certification"
      },
      "text": "Ethnography, qualitative research, scuba certification",
      "word_count": 6
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Ethnography"
    },
    {
      "is_primary": true,
      "skill_name": "Qualitative Research"
    },
    {
      "is_primary": false,
      "skill_name": "Scuba"
    }
  ],
  "jd_role": {
    "display_name": "Underwater Robotics Ethnographer",
    "rationale": null,
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [
      "scuba certification"
    ],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": null,
      "min": null,
      "raw": null
    },
    "job_locations": [],
    "role": "Underwater Robotics Ethnographer",
    "role_archetype": "Other",
    "roles_and_responsibilities": [
      {
        "bullet_count": 3,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Conduct ethnographic studies of",
          "last_5_words": "anthropology research labs"
        },
        "text": "Conduct ethnographic studies of robot-marine-life interaction\nAuthor cultural impact reports\nCoordinate with marine biology and anthropology research labs",
        "word_count": 24
      },
      {
        "bullet_count": 0,
        "heading": "Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Ethnography, qualitative research, scuba",
          "last_5_words": "research, scuba certification"
        },
        "text": "Ethnography, qualitative research, scuba certification",
        "word_count": 6
      }
    ],
    "urls": []
  },
  "run_id": null,
  "stage3_signals": {
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Frontend Engineer",
        "matched_count": null,
        "role_id": 7,
        "score": 0.358,
        "slug": "frontend-engineer",
        "total_count": null
      },
      {
        "display_name": "AR/VR Engineer",
        "matched_count": null,
        "role_id": 8,
        "score": 0.3039,
        "slug": "ar-vr-engineer",
        "total_count": null
      },
      {
        "display_name": "Data Engineer",
        "matched_count": null,
        "role_id": 2,
        "score": 0.3028,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "DevOps Engineer",
        "matched_count": null,
        "role_id": 10,
        "score": 0.2986,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "matched_count": null,
        "role_id": 3,
        "score": 0.2872,
        "slug": "ml-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [],
    "stage35_ran": false
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "E",
    "chosen_role": null,
    "confidence": 0.0,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "queued": true,
    "reasoning": "low_kra: top KRA 0.36 \u003c 0.4"
  },
  "stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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