{"id":"W3000682096","doi":"10.2196/14059","title":"Accuracy and Precision of Three Consumer-Grade Motion Sensors During Overground and Treadmill Walking in People With Parkinson Disease: Cross-Sectional Comparative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Intraclass correlation; Treadmill; Motion sensors; Physical medicine and rehabilitation; Physical therapy; Accelerometer; Parkinson's disease; Medicine; Mathematics; Computer science; Statistics; Reproducibility; Artificial intelligence; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003259494,0.0005213592,0.0006352803,0.001070321,0.0003931875,0.0008756495,0.0005221546,0.0009713558,0.0006021113],"category_scores_gemma":[0.008371391,0.000422439,0.00101127,0.000948803,0.00036805,0.0007543791,0.0006219142,0.0004350116,0.0002593976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843458,"about_ca_system_score_gemma":0.00021417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275067,"about_ca_topic_score_gemma":0.005239055,"domain_scores_codex":[0.9971507,0.0007266344,0.0005742681,0.0006289378,0.0008026115,0.0001168165],"domain_scores_gemma":[0.9923509,0.001627532,0.002557286,0.0005370975,0.002753151,0.0001741367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006070812,0.0002202132,0.9864432,0.0001793085,0.0003889581,0.00004475375,0.0007866473,0.0001260934,0.001146873,0.00002060885,0.0000801198,0.009956196],"study_design_scores_gemma":[0.00002223679,0.0009558191,0.9968864,0.00003693252,0.0001988212,0.0002616755,0.0005688335,0.0004028497,0.0003997511,0.00001854056,0.0002351925,0.00001292118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978885,0.0005085567,0.0008617858,0.00001446666,0.000009540983,0.00006357564,0.0002577504,0.000009732427,0.0003860956],"genre_scores_gemma":[0.9979323,0.0001698116,0.00134597,0.00002291558,0.000007279401,0.00005791904,0.000304692,0.000004099352,0.0001551348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003259494,"threshold_uncertainty_score":0.01723808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159024705426537,"score_gpt":0.3779353090428059,"score_spread":0.3363450619885405,"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."}}