Import UAPF package: HR-atlase-vertesana-ProcessGit-v0.1.1.uapf

algorithms/candidate-profiler.card.yaml

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+kind: uapf.algorithm.card
+id: algo.openhr.candidate_profiler
+version: "0.1.0"
+name: "OpenHR kandidāta daudzdimensionālais profilētājs"
+intent: >-
+  Izvērtēt tikai ar amatu saistītus kandidāta pierādījumus un izveidot
+  profesionālo, prasmju, darba uzvedības un riska profilu HR speciālista
+  strukturētai pārskatīšanai. Algoritms nepieņem nodarbinātības lēmumu.
+algorithm_kind: classifier
+determinism: learned
+side_effects: external_call
+
+io:
+  inputs:
+    - id: vacancy_profile
+      type: object
+      schema: schemas/vacancy-profile.schema.json
+    - id: pseudonymous_candidate_id
+      type: string
+    - id: redacted_cv_text
+      type: string
+    - id: structured_questionnaire
+      type: object
+  outputs:
+    - id: candidate_profile
+      type: object
+      schema: schemas/candidate-profile-output.schema.json
+
+implementation:
+  type: external
+  medium: http_api
+  uri: "processgit://AI_Sandbox/HR-atlase-vertesana/services/candidate-profiler/v1"
+  hash: "sha256:0000000000000000000000000000000000000000000000000000000000000000"
+  runtime:
+    method: POST
+    path: /evaluate
+    timeoutSeconds: 90
+    contentType: application/json
+
+owners:
+  - type: organization
+    id: algomation-ai
+    contact: info@algomation.io
+
+lifecycle:
+  status: draft
+  maturity: proof-of-concept
+
+confidence:
+  type: probability
+  threshold: 0.70
+  below_threshold: enhanced_human_review
+
+failure_mode:
+  action: stop_and_request_human_review
+  retryable: true
+  maximumRetries: 1
+
+limitations:
+  - "Rezultāts ir atkarīgs no iesniegto pierādījumu pilnīguma un kvalitātes."
+  - "Darba uzvedības profils nav personības, psiholoģisks vai medicīnisks novērtējums."
+  - "Algoritms nedrīkst izmantot aizsargātas vai darbam nebūtiskas pazīmes."
+  - "Algoritms nedrīkst pieņemt galīgo atlases lēmumu."
+
+validation:
+  last_validated: "2026-07-24"
+  methodology: "POC schema, deterministic fixtures and mandatory human review"
+  test_suite: tests/candidate-profiler-tests.yaml
+  metrics:
+    schemaValidityTarget: 1.0
+    evidenceCoverageTarget: 0.85
+
+audit:
+  log_inputs: metadata_only
+  log_outputs: true
+  retention: P5Y
+
+privacy:
+  personalData: true
+  technique: pseudonymisation_and_redaction
+  reIdentificationRisk: low
+
+risk:
+  aiActRiskClass: high
+  domain: employment
+  humanOversight: mandatory
+  consequentialDecisionAllowed: false