{"id":"W7117687188","doi":"10.6084/m9.figshare.30970008.v1","title":"Additional file 1 of Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Track (disk drive); Window (computing); Tracking (education); Noise (video); Radar tracker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002547948,0.001313451,0.001138297,0.001077885,0.0008758178,0.00129157,0.001984602,0.001581749,0.7830271],"category_scores_gemma":[0.03311869,0.0005717092,0.0008592845,0.0008700113,0.0003942866,0.001035181,0.001031605,0.0008468094,0.1504097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514899,"about_ca_system_score_gemma":0.001636555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003450633,"about_ca_topic_score_gemma":0.006550125,"domain_scores_codex":[0.9993383,0.0001750361,0.00007296881,0.0001689534,0.0001970265,0.00004754188],"domain_scores_gemma":[0.984221,0.01257213,0.0003923139,0.0007831432,0.001731066,0.0003003549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003413575,0.0005671531,0.001934928,0.008674207,0.0002045841,0.0002227561,0.0001196994,0.001244878,0.001830061,0.001499712,0.9267563,0.05353225],"study_design_scores_gemma":[0.01926967,0.003495088,0.0246588,0.006366007,0.0009836705,0.002125794,0.000502856,0.01393317,0.01462375,0.02342776,0.8900061,0.0006072894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001737942,0.000232154,0.010798,0.0004402389,0.0003399908,0.00146188,0.9785426,0.002632312,0.003814889],"genre_scores_gemma":[0.05381218,0.001006548,0.07744215,0.003123489,0.00069254,0.0256656,0.7933059,0.00532975,0.03962181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7830271,"threshold_uncertainty_score":0.3094856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587618039060884,"score_gpt":0.3554915472296996,"score_spread":0.3196153668390907,"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."}}