Hawksworth Six-Class Mistletoe Rating

Hawksworth six-class sum of independently rated crown thirds0–2, retain unknown-third rating bounds; no pathogen identity or full rating from missing evidence. Caller independently verifies units, applicability and matching conditions; no operational recipe, safety certification, causal efficacy or legal/resource classification is inferred.

Description

A Hawksworth-style dwarf-mistletoe rating uses separately assigned codes for three crown thirds.

A Hawksworth-style dwarf-mistletoe rating uses separately assigned codes for three crown thirds.^[1]

Summing known codes and bounding missing ones preserves incomplete assessment rather than assigning disease severity from unobserved branches. Use this tool to calculate hawksworth six-class mistletoe rating from the supplied measurements and assumptions.

When to use Hawksworth Six-Class Mistletoe Rating

Use this tool to calculate hawksworth six-class mistletoe rating from the supplied measurements and assumptions. Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.

How to use Hawksworth Six-Class Mistletoe Rating and understand its results

Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
Enter observedCrownThirdInfectionRatings, knownCrownThirdAssessmentFlags, using the field meanings and rules below, then run the tool.
Read knownHawksworthRatingSubtotal, wholeCrownHawksworthLowerBound, wholeCrownHawksworthUpperBound, allThirdsAssessed. Interpret the fields using their units, signs and evidence conventions below.
If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.

Input field	Meaning	Value type	Requirement
observedCrownThirdInfectionRatings	Observed crown third infection ratings	list of number	Required
knownCrownThirdAssessmentFlags	Known crown third assessment flags; binary 1=known, 0=unknown, in the order described below	list of number	Required

Enter exactly three integer codes 0–2 for independently assessed lower, middle and upper crown thirds, with binary known flags. Validate all codes including unknown placeholders. Sum known codes, return that subtotal as lower bound and add 2 per unknown third for upper bound; complete requires every third known. No visual grading is performed.

knownSubtotal=Σcode×known; lower=knownSubtotal; upper=knownSubtotal+2×unknownCount; complete=(unknownCount=0)

Use the exact units, boundary rules, ordering and missing-evidence conventions above.

Output field	Meaning	Value type
knownHawksworthRatingSubtotal	Known Hawksworth Rating Subtotal; follow the units, sign, ordering and evidence convention stated above	number
wholeCrownHawksworthLowerBound	Whole Crown Hawksworth Lower Bound; follow the units, sign, ordering and evidence convention stated above	number
wholeCrownHawksworthUpperBound	Whole Crown Hawksworth Upper Bound; follow the units, sign, ordering and evidence convention stated above	number
allThirdsAssessed	All Thirds Assessed; follow the units, sign, ordering and evidence convention stated above	boolean

json

{
  "input": {
    "observedCrownThirdInfectionRatings": [
      0,
      1,
      2
    ],
    "knownCrownThirdAssessmentFlags": [
      1,
      0,
      1
    ]
  },
  "output": {
    "knownHawksworthRatingSubtotal": 2,
    "wholeCrownHawksworthLowerBound": 2,
    "wholeCrownHawksworthUpperBound": 4,
    "allThirdsAssessed": false
  }
}

Limitations and assumptions

Summing known codes and bounding missing ones preserves incomplete assessment rather than assigning disease severity from unobserved branches. Interpretation depends on the units, sampling scope and exact model described above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.

Alternative or Complementary methods

Use Rust Gall Incidence Stem Sweep Frequency for this related task: Rust-gall incidence is the proportion of assessed observations with a recorded gall.

Use Schütt Visual Defoliation Rating Tool when its separate inputs and assumptions fit the question: Defoliation classes and reference values depend on the adopted assessment convention.

References

Hawksworth Six-Class Mistletoe Rating — tool.io

Similar or alternative tools

Rust Gall Incidence Stem Sweep Frequency
Rust-gall incidence is the proportion of assessed observations with a recorded gall.
Schütt Visual Defoliation Rating Tool
Defoliation classes and reference values depend on the adopted assessment convention.