{"id":"W4310352201","doi":"10.21203/rs.3.rs-2289246/v1","title":"A Multicenter Study Using a Smartwatch, Smartphone, and Wearable Sensors to Assess Early Parkinson’s Disease: Baseline Results of the WATCH-PD Study","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; University of Cambridge; US WorldMeds; Eli Lilly and Company; York University; Farmer Family Foundation; Acorda Therapeutics; Parkinson Study Group; Sunovion; University of Rochester; University of Cincinnati; University of South Florida; University of Colorado Denver; Biogen","keywords":"Smartwatch; Wearable computer; Parkinson's disease; Baseline (sea); Physical medicine and rehabilitation; Wearable technology; Disease; Medicine; Computer science; Physical therapy; Embedded system; Internal medicine; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003733598,0.001036224,0.0009188906,0.0004909224,0.0008637506,0.001037588,0.0003439781,0.001047905,0.001105607],"category_scores_gemma":[0.003758815,0.0005604281,0.0007152164,0.0005072955,0.000313824,0.0008694105,0.0005388095,0.0006987346,0.0006519402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770524,"about_ca_system_score_gemma":0.0003037297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002738062,"about_ca_topic_score_gemma":0.002523669,"domain_scores_codex":[0.9987214,0.000631963,0.00009374337,0.0003031136,0.0001533466,0.00009638623],"domain_scores_gemma":[0.9973499,0.0004548981,0.0006520804,0.0002968223,0.000630873,0.0006154707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0218733,0.003506283,0.961957,0.00006837526,0.0009066128,0.0002896951,0.0007998457,0.00007809809,0.002875626,0.00003479225,0.0006352671,0.006975098],"study_design_scores_gemma":[0.001921131,0.01303876,0.9821875,0.00001348087,0.000548778,0.0003388176,0.0003552221,0.0002184519,0.0004627011,0.00002929705,0.0008567885,0.00002896631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986707,0.000242268,0.0001702536,0.00002760197,0.00001053927,0.00009966212,0.0004056157,0.000008314777,0.000365038],"genre_scores_gemma":[0.9976971,0.0001029266,0.0003899334,0.0001001386,0.00003755047,0.0001545013,0.0009272631,0.000006675565,0.0005838412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003733598,"threshold_uncertainty_score":0.01974541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074339177640279,"score_gpt":0.4049899980644028,"score_spread":0.2975560803003749,"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."}}