Charcoal Ring Porosity Classifier

Compare independently documented charcoal ring and vessel patterns with caller reference-class criteria, retaining overlap and unknown evidence. This does not identify a tree from a pore or establish provenance.

Description

Charcoal porosity classification relies on independently annotated anatomical evidence.

Charcoal porosity classification relies on independently annotated anatomical evidence.^[1]

Compatible classes do not establish species identity or substitute for microscopy. Use Charcoal Ring Porosity Classifier to evaluate the supplied inputs under the model explained below.

When to use Charcoal Ring Porosity Classifier

Use Charcoal Ring Porosity Classifier to evaluate the supplied inputs under the model explained below. Define the candidate classes and their positive-evidence requirements, then distinguish evidence presence from whether it is known.

How to use Charcoal Ring Porosity Classifier and understand its results

Define the candidate classes and their positive-evidence requirements, then distinguish evidence presence from whether it is known.
Enter Caller charcoal ring porosity class ids, Caller charcoal ring porosity requirements, Observed charcoal ring porosity evidence, Known charcoal ring porosity flags using the field table and validation rules below, then run the tool.
Read Compatible caller classes, Fully witnessed caller classes; interpret the units, signs, ordering and unknown-value placeholders described below.
Correct reported input errors and rerun. Apply successful results according to their specific meanings and check the assumptions before using them in a decision.

Input field	Meaning	Value type	Requirement
callerCharcoalRingPorosityClassIds	Caller charcoal ring porosity class ids	array of string	Required; constraints below
callerCharcoalRingPorosityRequirements	Caller charcoal ring porosity requirements	array of array	Required; constraints below
observedCharcoalRingPorosityEvidence	Observed charcoal ring porosity evidence	array of number	Required; constraints below
knownCharcoalRingPorosityFlags	Known charcoal ring porosity flags	array of number	Required; constraints below

Supply unique nonblank class IDs, one rectangular binary requirement row per class, and aligned binary observation and known-flag arrays. Each class must require at least one positive witness. Requirement 0 ignores an evidence column; requirement 1 needs a known positive observation for full witnessing. An unknown requirement remains compatible, while a known absent requirement excludes the class. Both returned class lists preserve caller order. No readiness rubric is installed and compatible does not mean fully witnessed or approved.

compatible = no required known absence; fully witnessed = every required witness known and positive

Use the field order, units and branch conditions described above.

Output field	Meaning	Value type
compatibleCallerClasses	Caller classes with no known absence of required positive evidence.	array of string
fullyWitnessedCallerClasses	Caller classes with all required positive evidence known and present.	array of string

json

{
  "input": {
    "callerCharcoalRingPorosityClassIds": [
      "a",
      "b"
    ],
    "callerCharcoalRingPorosityRequirements": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedCharcoalRingPorosityEvidence": [
      1,
      0
    ],
    "knownCharcoalRingPorosityFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

Limitations and assumptions

Compatible classes do not establish species identity or substitute for microscopy. Apply the exact scope and assumptions explained above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse arrays fail validation. Domain-specific bounds, alignments and supported tokens are explained above; extremely large inputs or outputs can also be rejected. Input errors differ from successful false results, empty match lists and unknown-evidence placeholders.

Alternative or Complementary methods

Use Burning Stage Bone Color Classifier for a related task: Bone burning interpretation depends on more than color alone.

Use Seed Carbonization Condition Score for a related task: Seed carbonization interpretation requires independently assessed preservation features.

References

Charcoal Ring Porosity Classifier — tool.io

Similar or alternative tools

Burning Stage Bone Color Classifier
Bone burning interpretation depends on more than color alone.
Seed Carbonization Condition Score
Seed carbonization interpretation requires independently assessed preservation features.