MLchartDataset catalogue

Model uncertainty

Term · Environment · MLC-T-ENV-017641

1. Uncertainty regarding gaps in scientific theory required to make predictions on the basis of causal inferences.

2. Uncertainty due to necessary simplification of real-world processes, misspecification of the model structure, model misuse, or use of inappropriate surrogate variables or inputs.

3. Uncertainty due to necessary simplification of real-world processes, misspecification of the model structure, model misuse, or use of inappropriate surrogate variables or inputs. [EPA 2004]

4. Bias or imprecision associated with compromises made or lack of adequate knowledge in specifying the structure and calibration (parameter estimation) of a model. [FAO/WHO 2003b]

Table 1. Record
IdentifierMLC-T-ENV-017641
FieldEnvironment
SubjectHealth and safety
ReferencesExposure Factors Handbook: Glossary; EPA 2004; Thesaurus of Terms Used in Microbial Risk Assessment
Record as JSON
{
  "id": "MLC-T-ENV-017641",
  "term": "Model uncertainty",
  "field": "Environment",
  "definition": "1. Uncertainty regarding gaps in scientific theory required to make predictions on the basis of causal inferences.\n\n2. Uncertainty due to necessary simplification of real-world processes, misspecification of the model structure, model misuse, or use of inappropriate surrogate variables or inputs.\n\n3. Uncertainty due to necessary simplification of real-world processes, misspecification of the model structure, model misuse, or use of inappropriate surrogate variables or inputs. [EPA 2004]\n\n4. Bias or imprecision associated with compromises made or lack of adequate knowledge in specifying the structure and calibration (parameter estimation) of a model. [FAO/WHO 2003b]",
  "subject": "Health and safety",
  "references": [
    "Exposure Factors Handbook: Glossary",
    "EPA 2004",
    "Thesaurus of Terms Used in Microbial Risk Assessment"
  ],
  "url": "https://mlchart.com/terminology/environment/model-uncertainty/"
}

Record 17,641 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.