{"paper":{"title":"Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"A markerless pipeline from single-view video quantifies Rodda and Graham knee and ankle z-scores with R² of 0.80 for knees against 3D gait analysis in 152 children.","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Anita Bagley, Hyeokhyen Kwon, Jeremy Bauer, Joseph Krzak, Karen Kruger, Lauhitya Reddy, Maura Eveld, Ross Chafetz, Seth Donahue, Susan Sienko, Vedant Kulkarni","submitted_at":"2026-05-11T23:04:08Z","abstract_excerpt":"Cerebral Palsy (CP) is a neurological disorder of movement and the most common cause of lifelong physical disability in childhood. Approximately 75% of children with CP are ambulatory, and accurate gait assessment is central to preserving walking function, which deteriorates by mid-adulthood in a quarter to half of adults with CP. The Rodda and Graham classification system quantifies sagittal-plane gait deviations using ankle and knee z-scores derived from 3D Instrumented Gait Analysis (3D-IGA), but 3D-IGA is expensive and limited to specialized centers, while observational assessment shows on"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Across 1,058 bilateral limb samples from 529 trials of 152 children, the sagittal-view model achieved R² = 0.80 ± 0.02 and CCC = 0.89 ± 0.02 for knee z-scores and R² = 0.57 ± 0.02 and CCC = 0.72 ± 0.02 for ankle z-scores against 3D-IGA.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That single-view 2D video kinematics can be mapped reliably to the 3D-IGA z-scores used as ground truth, particularly for ankle measurements where performance is lower, and that the heterogeneous cohort (60 diagnoses) generalizes to new patients.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A single-view video model estimates knee z-scores with R²=0.80 and ankle z-scores with R²=0.57 against 3D-IGA ground truth, supporting screening and longitudinal tracking in a heterogeneous pediatric cohort.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A markerless pipeline from single-view video quantifies Rodda and Graham knee and ankle z-scores with R² of 0.80 for knees against 3D gait analysis in 152 children.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"e00c98f0c08bee2b3c1d5c8e25790c5519bf08304e28d5671f651c46e8a63df1"},"source":{"id":"2605.11314","kind":"arxiv","version":2},"verdict":{"id":"e6c44575-65a9-47e0-80a1-9593585af9bb","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-13T05:48:03.047420Z","strongest_claim":"Across 1,058 bilateral limb samples from 529 trials of 152 children, the sagittal-view model achieved R² = 0.80 ± 0.02 and CCC = 0.89 ± 0.02 for knee z-scores and R² = 0.57 ± 0.02 and CCC = 0.72 ± 0.02 for ankle z-scores against 3D-IGA.","one_line_summary":"A single-view video model estimates knee z-scores with R²=0.80 and ankle z-scores with R²=0.57 against 3D-IGA ground truth, supporting screening and longitudinal tracking in a heterogeneous pediatric cohort.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That single-view 2D video kinematics can be mapped reliably to the 3D-IGA z-scores used as ground truth, particularly for ankle measurements where performance is lower, and that the heterogeneous cohort (60 diagnoses) generalizes to new patients.","pith_extraction_headline":"A markerless pipeline from single-view video quantifies Rodda and Graham knee and ankle z-scores with R² of 0.80 for knees against 3D gait analysis in 152 children."},"integrity":{"clean":false,"summary":{"advisory":0,"critical":1,"by_detector":{"doi_compliance":{"total":1,"advisory":0,"critical":1,"informational":0}},"informational":0},"endpoint":"/pith/2605.11314/integrity.json","findings":[{"note":"Identifier '10.1097/ede.0b013e3181c30fb7' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","detector":"doi_compliance","severity":"critical","ref_index":49,"audited_at":"2026-05-19T08:33:00.399018Z","detected_doi":"10.1097/ede.0b013e3181c30fb7","finding_type":"unresolvable_identifier","verdict_class":"cross_source","detected_arxiv_id":null}],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T04:42:00.664366Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T12:38:29.231737Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_title_agreement","ran_at":"2026-05-19T10:01:17.065925Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T08:33:00.399018Z","status":"completed","version":"1.0.0","findings_count":1}],"snapshot_sha256":"e0dba3617efe82ceb73fde3654d2c88d8ddbd3b38c08184b4a0d395e937417aa"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"3ee8b6a84b50447246dcea567b6ee5cffbf61bea3bedd8bdefa9997a065f0c03"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}