Caffeine Limit Checker

Actual distinct consumed-serving caffeine inventory versus independently applicable clinical review limit. Not certify safety, identify hidden caffeine, universal dose limit or permit exposure below a threshold.

Description

A caffeine inventory adds independently established caffeine amounts across servings.

A caffeine inventory adds independently established caffeine amounts across servings.1

Its comparison uses a supplied daily review limit rather than selecting a universal threshold.

When to use Caffeine Limit Checker

Use this tool to calculate or review the supplied observations under the stated rules. Establish the observation date, units, measurement context and independently applicable clinical reference or calibrated model.

How to use Caffeine Limit Checker and understand its results

  1. Establish the observation date, units, measurement context and independently applicable clinical reference or calibrated model.
  2. Enter independentlyVerifiedCaffeineMgByServing, callerClinicallyApplicableDailyReviewLimitMg, using the field meanings and rules below, then run the tool.
  3. Read result.observedCaffeineMg, result.signedReviewLimitMarginMg, result.exceedsCallerReviewLimit. Use the units and sign conventions below.
  4. Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
Input fieldMeaningValue typeRequirement
independentlyVerifiedCaffeineMgByServingIndependently verified caffeine mg by servinglist of numberRequired
callerClinicallyApplicableDailyReviewLimitMgCaller clinically applicable daily review limit mgnumberRequired

Supply nonnegative caffeine amounts per serving and a nonnegative daily review limit in milligrams. Sum servings, subtract total from limit and flag only total>limit; equality is not exceeded. An empty serving inventory sums to zero.

totalMg=ΣservingMg; signedMarginMg=limitMg−totalMg; exceeds=(totalMg>limitMg)

Use the matching field units and the exact boundary, ordering and reference rules above.

Output fieldMeaningValue type
resultStructured result; its nested fields below contain the actual calculation or selected referenceobject
result.observedCaffeineMgObserved Caffeine Mgnumber
result.signedReviewLimitMarginMgSigned Review Limit Margin Mg; preserve the subtraction order and sign defined in the mechanicsnumber
result.exceedsCallerReviewLimitExceeds Caller Review Limitboolean
json
{
  "input": {
    "independentlyVerifiedCaffeineMgByServing": [
      50,
      75
    ],
    "callerClinicallyApplicableDailyReviewLimitMg": 200
  },
  "output": {
    "result": {
      "observedCaffeineMg": 125,
      "signedReviewLimitMarginMg": 75,
      "exceedsCallerReviewLimit": false
    }
  }
}

Limitations and assumptions

Dating evidence, acquisition conditions and applicable clinical references remain independently established. The output describes supplied observations or a conditional model without diagnosing an outcome, choosing a dose or verifying clinical applicability.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.

Alternative or Complementary methods

For a related step, use Alcohol Risk Checker: No safe amount or timing of alcohol use during pregnancy is established. For a complementary comparison, use Calorie Requirement Pregnancy Calculator: Pregnancy energy requirements depend on individual context and the applicable nutrition reference.

References

  1. Caffeine Limit Checker — tool.io

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