BEMO:2000273 · BEMO metric v1.0.0
Batch-Effect Sensitivity
A canonical biomedical evidence metric quantifying the scientific credibility, reliability, relevance, or interpretability of batch-effect sensitivity.
- Scientific pillar
- Measurement, Assay, and Biospecimen Quality
- Source category
- Measurement and Assay Analytical Validity
- Output scale
- ProportionScale
- Source maturity
- Mature
Scientific meaning
What it measures
Assesses batch-effect sensitivity using evidence appropriate to measurement and assay analytical validity, distinguishing random uncertainty from systematic error.
Why it matters
Material weakness in batch-effect sensitivity can change the direction, magnitude, certainty, or biological interpretation of the research conclusion.
Measurement criteria
Prespecified threshold; valid reference standard; complete 2×2 classification; confidence intervals; spectrum and prevalence assessment.
Typical methods of assessment
Structured critical appraisal; quantitative estimation with uncertainty; prespecified thresholds; independent replication; sensitivity and subgroup analyses.
Computation profile
- Computation mode
- QuantitativeProportionComputation
- Readiness
- TemplateComputable
- Formula status
- GenericTemplateDefined
- Method family
- proportion estimation
- Output datatype
- xsd:decimal
- Unit or scale
- Proportion or percentage (0–1 or 0–100%)
- Numeric range
- 0 to 1
- Directionality
- ContextDependentDirection
Required inputs
- numerator
- denominator
- operational_definition
- assessment_context
Optional inputs
- weight
- stratum
- confidence_level
Machine-readable expression
{
"language": "BEMO-Expression-JSON",
"operator": "divide",
"arguments": [
"numerator",
"denominator"
],
"constraints": [
"denominator > 0"
]
}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
- Yes
- 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
- As applicable; required when interpreted probabilistically.
Applicability and validation
- Evidence object
- Specimen / assay / run / laboratory / study
- Evidence level
- Specimen / assay / run / laboratory / study
- Study types
- Laboratory-developed tests, molecular assays, imaging, pathology, biomarker studies
- Domain
- Measurement and Assay Analytical Validity
- Required data sources
- Context-specific; use source references, registered studies, primary data, and authoritative biomedical resources as applicable.
- Validation status
- Source maturity: Mature; 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 batch-effect sensitivity 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
- 280
- Source record SHA-256
7222c30713cc035f86bae406549aaf0d4751a919d50ae68b917efd9629244d28- Definition source
- Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx row 280; see source_references
- Ontology IRI
- https://w3id.org/bemo/BEMO_2000273
- Profile IRI
- https://w3id.org/bemo/profile/BEMO_2000273
Scientific references (4)
- https://www.fda.gov/media/119271/downloadSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
- https://clsi.org/standards/products/method-evaluation/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
- https://www.iso.org/standard/76677.htmlSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
- https://pubmed.ncbi.nlm.nih.gov/19246619/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.