Trampling Mark Misidentification Flag Checker
Apply explicit caller shallow-mark/intersection confound screen; a flag preserves uncertain mark attribution and is not an automated trampling or cut-mark diagnosis.
Description
Bone marks can have multiple possible causes.
Bone marks can have multiple possible causes. A shallow, intersecting mark pattern can flag a confound under a supplied screening policy.
Apply explicit caller shallow-mark/intersection confound screen; a flag preserves uncertain mark attribution and is not an automated trampling or cut-mark diagnosis.
When to use Trampling Mark Misidentification Flag Checker
Use this tool to apply explicit caller shallow-mark/intersection confound screen; a flag preserves uncertain mark attribution and is not an automated trampling or cut-mark diagnosis.
Prepare the fossil measurements or occurrence records and the chosen calibration parameters. Retain the stated coordinate, age and measurement conventions.
How to use Trampling Mark Misidentification Flag Checker and understand its results
- Prepare the fossil measurements or occurrence records and the chosen calibration parameters. Retain the stated coordinate, age and measurement conventions.
- Enter markDepthWidthRatios, markIntersectionCounts, callerMaximumTramplingRatio, callerMinimumIntersectionCount using the field table and calculation rules, then run the tool.
- Read callerTramplingConfoundFlags. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| markDepthWidthRatios | Mark depth width ratios | list of number | Required |
| markIntersectionCounts | Mark intersection counts | list of number | Required |
| callerMaximumTramplingRatio | Caller maximum trampling ratio | number | Required |
| callerMinimumIntersectionCount | Caller minimum intersection count | integer | Required |
Align nonnegative depth-width ratios and integer intersections with nonnegative caller cutoffs. Evaluate both inclusive conditions and return numeric 0/1 flags.1
Paired lists must be nonempty and have equal lengths.
flag = depth/width ≤ maximum AND intersections ≥ minimum Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| callerTramplingConfoundFlags | Caller trampling confound flags | list of number |
{
"input": {
"markDepthWidthRatios": [
0.1,
0.4
],
"markIntersectionCounts": [
3,
0
],
"callerMaximumTramplingRatio": 0.2,
"callerMinimumIntersectionCount": 2
},
"output": {
"callerTramplingConfoundFlags": [
1,
0
]
}
}Limitations and assumptions
A flag preserves uncertain attribution; it does not diagnose trampling or tool cutting.
Numbers and computed results must be finite; overflow produces an error. Numeric lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Tooth Mark to Tool Mark Ratio Checker: Compare caller classified tooth/tool-marked bone prevalence with co-marked overlap retained; observed-bone ratios do not determine predator/human sequence or agents. For a complementary task, use Microwear Scratch-Pit Density Ratio Classifier: Measure surface-standardized scratch/pit densities and caller ratio band, requiring positive pit denominators; proxy class does not identify foods, habitual diet or ancestry.
References
Similar or alternative tools
- Tooth Mark to Tool Mark Ratio Checker
Compare caller classified tooth/tool-marked bone prevalence with co-marked overlap retained; observed-bone ratios do not determine predator/human sequence or agents.
- Microwear Scratch-Pit Density Ratio Classifier
Measure surface-standardized scratch/pit densities and caller ratio band, requiring positive pit denominators; proxy class does not identify foods, habitual diet or ancestry.