{"id":"W4386158797","doi":"10.1109/icme55011.2023.00122","title":"FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease Progress","year":2023,"lang":"en","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"Research and Development; National Natural Science Foundation of China","keywords":"Computer science; Federated learning; Parkinson's disease; Machine learning; Process (computing); Artificial intelligence; Clinical trial; Big data; Disease; Motor symptoms; Medicine; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.003390821,0.001065332,0.001144271,0.001833144,0.000542896,0.001297619,0.00190503,0.001548229,0.001361373],"category_scores_gemma":[0.00904112,0.0003036374,0.001025146,0.0009593958,0.0006485979,0.002545306,0.002383614,0.001468127,0.0003791864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562612,"about_ca_system_score_gemma":0.001549734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021169,"about_ca_topic_score_gemma":0.002647407,"domain_scores_codex":[0.9985734,0.000468344,0.0001332253,0.0003879662,0.0003394232,0.00009766942],"domain_scores_gemma":[0.9972147,0.001249469,0.0003536409,0.0005289647,0.0005056694,0.0001475235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001041639,0.0005679604,0.02658661,0.0003503202,0.0004779026,0.0005888144,0.0002579011,0.2231213,0.008359686,0.01183302,0.006546339,0.7202685],"study_design_scores_gemma":[0.00007338166,0.0003817135,0.002771129,0.00004512238,0.0001008374,0.0003458233,0.00006436712,0.9578408,0.009217215,0.02638516,0.002727335,0.00004711346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05474299,0.001059348,0.9375942,0.0009180044,0.0001080357,0.0002062641,0.0008889847,0.003396745,0.001085506],"genre_scores_gemma":[0.7540274,0.0004489926,0.2415292,0.0006139352,0.00007627882,0.0002508357,0.001428789,0.00006909868,0.00155553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003390821,"threshold_uncertainty_score":0.01793259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611700907831209,"score_gpt":0.3139695584465058,"score_spread":0.2778525493681936,"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."}}