{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "asset": {
    "name": "Jev data-analysis eligibility worksheet",
    "version": "1.0.0",
    "published": "2026-09-23",
    "license": "CC BY 4.0",
    "purpose": "Determine whether a bounded judgment in a data-analysis workflow is a candidate for Jev evaluation.",
    "verification": [
      "Parse this file with any JSON parser.",
      "Answer every mandatory eligibility question true or false.",
      "Answer every prohibited capability flag true or false.",
      "Apply decision_rule exactly; do not average the answers into a score.",
      "Confirm the worked example outcome follows from its answers."
    ],
    "disclaimer": "This worksheet is a proposed evaluation framework, not a Jev benchmark or evidence that InfiniSynapse currently integrates Jev."
  },
  "decision_rule": {
    "eligible": "All mandatory_eligibility answers are true, all prohibited_capabilities answers are false, and controls.evaluation_set_status is ready.",
    "conditional": "All mandatory_eligibility answers are true and all prohibited_capabilities answers are false, but one or more controls are not ready.",
    "ineligible": "Any mandatory_eligibility answer is false or any prohibited_capabilities answer is true.",
    "note": "The rule is conjunctive. A high total cannot compensate for one prohibited capability."
  },
  "blank_worksheet": {
    "candidate_name": "<name the single judgment>",
    "mandatory_eligibility": {
      "input_state_available_without_hidden_credentials": null,
      "acceptable_answers_enumerated_before_inference": null,
      "semantic_judgment_is_the_missing_step": null,
      "expected_labels_and_error_costs_can_be_evaluated": null,
      "low_confidence_and_service_failure_have_safe_destinations": null
    },
    "prohibited_capabilities": {
      "asks_jev_to_run_or_generate_sql": null,
      "asks_jev_to_perform_exact_arithmetic": null,
      "asks_jev_to_establish_causality": null,
      "asks_jev_to_grant_authorization": null,
      "asks_jev_to_override_a_deterministic_quality_gate": null,
      "asks_jev_to_write_the_final_evidence_backed_report": null
    },
    "controls": {
      "closed_answer_space": [],
      "includes_none_or_human_review": null,
      "evaluation_set_status": "<not_started|draft|ready>",
      "model_version_pinned": null,
      "question_version": "<version>",
      "thresholds_evaluated_by_error_cost": null,
      "deterministic_system_after_route": "<catalog|semantic_layer|warehouse|policy_engine|review_queue>",
      "audit_record_defined": null
    },
    "outcome": "<eligible|conditional|ineligible>",
    "reason": "<cite the first failed rule or the missing control>"
  },
  "appropriate_use_cases": [
    "Route among already-authorized source candidates",
    "Select an approved knowledge-base collection",
    "Route a governed metric-definition candidate",
    "Choose among approved table or view candidates",
    "Score anomaly triage priority after deterministic detection",
    "Judge evidence sufficiency for the next step without waiving required checks",
    "Route report-publication risk to a policy or review lane",
    "Escalate ambiguous or high-consequence cases to a human"
  ],
  "anti_cases": [
    "Run or generate SQL",
    "Perform exact arithmetic or reconciliation",
    "Establish causal effects",
    "Grant data or tool authorization",
    "Override deterministic quality gates",
    "Write the final evidence-backed analysis"
  ],
  "worked_example": {
    "label": "Illustrative metric-definition routing; not a live Jev result",
    "candidate_name": "Route a weekly post-refund revenue question to one approved metric definition",
    "mandatory_eligibility": {
      "input_state_available_without_hidden_credentials": true,
      "acceptable_answers_enumerated_before_inference": true,
      "semantic_judgment_is_the_missing_step": true,
      "expected_labels_and_error_costs_can_be_evaluated": true,
      "low_confidence_and_service_failure_have_safe_destinations": true
    },
    "prohibited_capabilities": {
      "asks_jev_to_run_or_generate_sql": false,
      "asks_jev_to_perform_exact_arithmetic": false,
      "asks_jev_to_establish_causality": false,
      "asks_jev_to_grant_authorization": false,
      "asks_jev_to_override_a_deterministic_quality_gate": false,
      "asks_jev_to_write_the_final_evidence_backed_report": false
    },
    "controls": {
      "closed_answer_space": [
        "gross_revenue",
        "net_revenue",
        "recognized_revenue",
        "human_review"
      ],
      "includes_none_or_human_review": true,
      "evaluation_set_status": "draft",
      "model_version_pinned": false,
      "question_version": "metric-route.v1",
      "thresholds_evaluated_by_error_cost": false,
      "deterministic_system_after_route": "semantic_layer",
      "audit_record_defined": true
    },
    "outcome": "conditional",
    "reason": "The task passes every eligibility and anti-case rule, but the evaluation set, pinned model, and consequence-specific thresholds are not ready.",
    "handoff": [
      "Jev may propose net_revenue from the closed answer space.",
      "The semantic layer supplies the approved definition.",
      "The warehouse runs SQL and arithmetic.",
      "The authorization layer checks the user's grants.",
      "The Decision Job records evidence and applies publication gates."
    ],
    "explicit_non_claims": [
      "No probability shown here is a measured Jev output.",
      "Jev does not execute SQL.",
      "Jev does not calculate revenue.",
      "Jev does not infer causal effects.",
      "Jev does not authorize access."
    ]
  }
}