BEMO:2000161 · BEMO metric v1.0.0

Prediction Interval Adequacy

The extent to which prediction interval is sufficient and fit for the stated biomedical inference.

CandidateRubricRequiredContextSpecificProtocolRequired
Scientific pillar
Evidence Synthesis and Certainty
Source category
Evidence Certainty and Synthesis
Output scale
OrdinalOrNormalizedScoreScale
Source maturity
Established

Scientific meaning

What it measures

Assesses prediction interval adequacy using evidence appropriate to evidence certainty and synthesis, distinguishing random uncertainty from systematic error.

Why it matters

Material weakness in prediction interval adequacy can change the direction, magnitude, certainty, or biological interpretation of the research conclusion.

Measurement criteria

Clear intended use or estimand; accepted reference or criterion; prespecified acceptance thresholds; independent validation; performance across relevant conditions.

Typical methods of assessment

Structured critical appraisal; quantitative estimation with uncertainty; prespecified thresholds; independent replication; sensitivity and subgroup analyses.

Computation profile

Apply a versioned, prespecified domain rubric or validated normalized scoring model.
Computation mode
RuleBasedRubricComputation
Readiness
RubricRequired
Formula status
ContextSpecificProtocolRequired
Method family
structured critical appraisal or rubric scoring
Output datatype
xsd:string_or_decimal
Unit or scale
Ordinal rubric, domain judgment, or normalized score
Numeric range
Context dependent
Directionality
ContextDependentDirection

Required inputs

  • evidence_records
  • assessment_context
  • rubric_version
  • operational_definition

Optional inputs

  • weights
  • thresholds
  • expert_adjudication

Machine-readable expression

{
  "language": "BEMO-Expression-JSON",
  "operator": "external_protocol",
  "protocolRef": "REQUIRED",
  "allowed_outputs": [
    "ordinal_category",
    "normalized_score"
  ]
}

Computation policies

Aggregation
Not specified in source; must be defined and versioned before composite use.
Normalization
None by default; any normalization must be justified, versioned, and validated.
Missing data
Must be declared before computation; report missingness; no silent imputation; perform sensitivity analysis when material.
Uncertainty required
Yes
Uncertainty method
Confidence interval, credible interval, bootstrap distribution, inter-rater reliability, or sensitivity analysis as scientifically applicable.
Confidence interval required
No
Threshold policy
Prespecify, justify, version, and sensitivity-test thresholds; do not derive and evaluate on the same data without correction.
Decision thresholds
No universal threshold declared
Quality control
Source provenance; input validation; duplicate control; uncertainty reporting; independent or orthogonal validation where applicable.
Calibration
Required for normalized scores; inter-rater reliability required for human rubrics.

Applicability and validation

Evidence object
Body of evidence / synthesis / outcome
Evidence level
Body of evidence / synthesis / outcome
Study types
Systematic reviews, meta-analyses, evidence profiles, guidelines
Domain
Evidence Certainty and Synthesis
Required data sources
Context-specific; use source references, registered studies, primary data, and authoritative biomedical resources as applicable.
Validation status
Source maturity: Established; BEMO computation profile requires independent validation.
Benchmark
A representative, versioned benchmark set is required before production use.
Reference standard
Use an independent reference standard when one exists; document expert-adjudicated alternatives.
External validation required
Yes

Interpretation safeguards

Common misinterpretations

Treating prediction interval adequacy as interchangeable with overall study quality, or interpreting a favorable value as proof that all other bias and validity domains are satisfactory.

Limitations

Depends on context, operational definition, thresholds, data quality, and evaluator judgment; it should not be used as a stand-alone summary score without domain-level evidence.

Dependency status

Not yet curated. Closely related metrics are represented; causal or computational dependencies require expert curation.

Source provenance

Source workbook
Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx
Source worksheet
Biomedical Evidence Metrics
Source row
168
Source record SHA-256
0acc1464b5d065a6f38744191dff4d933036cf918aeac3f16274b9cdb9dd1059
Definition source
Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx row 168; see source_references

Scientific references (4)

  1. https://www.gradeworkinggroup.org/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  2. https://www.prisma-statement.org/prisma-2020-checklistSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  3. https://www.bmj.com/content/358/bmj.j4008Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  4. https://www.riskofbias.info/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package

Governance and FAIR status

Lifecycle
Candidate
Approval
Draft
Owner
BEMO Project
Curator
Unassigned
Reviewer
Unassigned
License
Pending owner approval; CC BY 4.0 recommended for OBO compatibility.
Findable
Provisional: stable local ID assigned; public namespace registration pending.
Accessible
Provisional: package is distributable; permanent public release location pending.
Interoperable
Yes: OWL 2, RDF, SKOS, SHACL, JSON-LD, CSV, and OBO-style identifiers.
Reusable
Provisional: rich metadata supplied; open-license owner approval pending.
Governance note
Candidate term pending scientific, ontology-engineering, and computation-method review.
Editor note
Source content preserved verbatim; computation metadata is a generated default and must be curated before normative use.