{"id":"W4414971496","doi":"10.48550/arxiv.2510.04312","title":"CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment","year":2025,"lang":"en","type":"preprint","venue":"Lirias","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; AGE-WELL","keywords":"Gait; Motion (physics); Preprocessor; Generalization; Identification (biology); Disease; Benchmark (surveying); Encoder","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006129253,0.0004822614,0.001105496,0.0001630426,0.000111896,0.00007276821,0.0003288133,0.0004084763,0.0003195205],"category_scores_gemma":[0.0005756152,0.0004413808,0.000775944,0.00009557017,0.0001046395,0.0000482481,0.0008097055,0.0008014468,0.00003476208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393586,"about_ca_system_score_gemma":0.001200744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952312,"about_ca_topic_score_gemma":0.0002488987,"domain_scores_codex":[0.9968942,0.0001934822,0.000893217,0.001174242,0.0003926111,0.0004522192],"domain_scores_gemma":[0.9972113,0.0003426784,0.0003146227,0.001483593,0.0001684394,0.0004793856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0106507,0.004475433,0.2422018,0.01249669,0.00271462,0.0002277677,0.0005372763,0.0002169213,0.00003117144,0.001716533,0.6867474,0.03798373],"study_design_scores_gemma":[0.01625201,0.0002222093,0.08325274,0.0009501646,0.001981481,5.055085e-7,0.0002434545,0.002450927,0.00001064403,0.0004400623,0.8936973,0.0004985574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1859068,0.02670816,0.1016039,0.04938431,0.02830016,0.05723361,0.5380265,0.001475276,0.0113614],"genre_scores_gemma":[0.2321225,0.006983858,0.1188415,0.04654805,0.003740347,0.005295975,0.5683024,0.000258728,0.01790662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2069499,"threshold_uncertainty_score":0.9998038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07243344328851466,"score_gpt":0.430719295989077,"score_spread":0.3582858527005624,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}