Mouse Elbow Anchored Movement Risk Flag Checker

Evidence screen for actual anchored elbow/mouse movement pattern against caller independent posture criteria, no causal injury assessment. Independently declared positive evidence requirements; overlapping/unknown classes retained. Caller independently establishes matching units, evidence, method edition and applicability; output is not compliance, diagnosis, work-safety approval, geological identity or validated hazard prediction.

Description

Mouse-use evidence can be compared with explicitly supplied screening classes.

Mouse-use evidence can be compared with explicitly supplied screening classes.^[1]

A compatible class retains unknown required evidence and does not establish a diagnosis or an installed risk rubric. Use this tool to compare independently annotated features with the stated candidate rules.

When to use Mouse Elbow Anchored Movement Risk Flag Checker

Use this tool to compare independently annotated features with the stated candidate rules. Establish the observation protocol, units, task and reference population or review criterion before entering measurements.

How to use Mouse Elbow Anchored Movement Risk Flag Checker and understand its results

Establish the observation protocol, units, task and reference population or review criterion before entering measurements.
Enter callerMouseAnchoredPostureClassIds, callerMouseAnchoredPostureRequiredEvidence, observedMouseAnchoredPostureEvidence, knownMouseAnchoredPostureEvidenceFlags, using the field meanings and rules below, then run the tool.
Read compatibleCallerClasses, fullyWitnessedCallerClasses. 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
callerMouseAnchoredPostureClassIds	Caller mouse anchored posture class ids	list of string	Required
callerMouseAnchoredPostureRequiredEvidence	Caller mouse anchored posture required evidence	list of list of number	Required
observedMouseAnchoredPostureEvidence	Observed mouse anchored posture evidence	list of number	Required
knownMouseAnchoredPostureEvidenceFlags	Known mouse anchored posture evidence flags; binary 1=known, 0=unknown, in the order described below	list of number	Required

Supply nonempty unique class IDs and a rectangular binary requirement matrix with one row per class and one column per observed feature. Every class must require at least one positive feature. Supply aligned binary observation and known-flag lists. A requirement 0 ignores its column; a requirement 1 permits a class only if the feature is unknown or observed present. Fully witnessed classes require every required feature to be known present. Return all compatible and fully witnessed caller classes in caller order; unknown evidence can leave several candidates, and known absent required evidence excludes a class. The rubric is supplied rather than installed.

compatible={class:each required column is unknown or present}; witnessed={class:each required column is known present}

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

Output field	Meaning	Value type
compatibleCallerClasses	Every supplied class whose required features are unknown or known present	list of string
fullyWitnessedCallerClasses	Every supplied class with all required features known present	list of string

json

{
  "input": {
    "callerMouseAnchoredPostureClassIds": [
      "a",
      "b"
    ],
    "callerMouseAnchoredPostureRequiredEvidence": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedMouseAnchoredPostureEvidence": [
      1,
      0
    ],
    "knownMouseAnchoredPostureEvidenceFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

Limitations and assumptions

Features and criteria are independent annotations. Compatible candidates and retained unknown evidence do not establish an identity, interpretation, overall pass or permission.

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 Laptop-only Posture Risk Score Quick Rater for this related task: A posture screen can sum weights for independently observed indicators.

Use Cumulative Trauma Disorder Risk Screening Point Scorer when its separate inputs and assumptions fit the question: A cumulative-trauma screen summarizes independently annotated indicators with supplied point weights.

References

Mouse Elbow Anchored Movement Risk Flag Checker — tool.io

Similar or alternative tools

Laptop-only Posture Risk Score Quick Rater
A posture screen can sum weights for independently observed indicators.
Cumulative Trauma Disorder Risk Screening Point Scorer
A cumulative-trauma screen summarizes independently annotated indicators with supplied point weights.