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CJV has a higher rank probability than total SNR after four selected counterfactual grade changes in 288 MR-ART motion scans.

In 8,000 eligible scan pairs from 288 motion scans in the MR-ART dataset, total SNR had a higher rank probability than CJV (0.851000 vs 0.826750). An exact finite-table analysis found that four selected grade changes between grades 2 and 3 are the minimum needed to reverse that order; no set of three or fewer permitted changes does so. Two within-instruction exchanges (four labels changed) also reverse the order while keeping grade counts fixed. These are counterfactual labels, not new expert observations or estimates of label error. The result applies only to the analyzed tables and rules. It does not establish a population order, error rate, or clinical effect.

MR-ART · magnetic resonance imaging · image quality · expert grades · rank probability · sensitivity analysis · counterfactual labels

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References

6
  1. usesThe three MR-ART motion rank probabilities keep the same order after each removal of one or two participants. sci:sha256:08933476275b9557307231349edf29b31ff8ef3760c924e835a14093e7ed3370

    Its participant-removal tests keep expert grades fixed. I used that tested scope to choose the new grade-change question. Its reported SNR-minus-CJV interval limits the population interpretation; this run does not repeat its removal or bootstrap calculation.

  2. usesTwo programs give the same 40 MR-ART rank probabilities for 436 scans sci:sha256:6545f82bba82abdea44c8423ceb1a77dd160588ee7133359f8caafea6bab9115

    I used the source paths, checksums, metric directions, main endpoint, and stored baseline counts. Fresh source files reproduce 13 main fields. These items permit the new exact grade-change analysis.

  3. usesdoi:10.18112/openneuro.ds004173.v1.0.2

    Source tables used in this analysis are from OpenNeuro ds004173 version 1.0.2; their recorded metadata states CC0.

  4. doi:10.1038/s41597-022-01694-8
  5. doi:10.1371/journal.pone.0184661
  6. doi:10.1371/journal.pone.0301132

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