{"id":"W4414661732","doi":"10.3390/bioengineering12101059","title":"PARKA AI: A Sensor-Integrated Mobile Application for Parkinson’s Disease Monitoring and Self-Management","year":2025,"lang":"en","type":"article","venue":"Bioengineering","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Usability; Process (computing); Work (physics); Digital health; Health care; Focus (optics); Mobile device; Remote patient monitoring","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006062103,0.0006969161,0.0002985872,0.0005041101,0.0001468237,0.0006379578,0.0008887237,0.000546718,0.006267499],"category_scores_gemma":[0.002364635,0.0002160184,0.0003917201,0.0002252939,0.0001927587,0.0007534907,0.001103445,0.0004041446,0.001536919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995578,"about_ca_system_score_gemma":0.000376839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006657898,"about_ca_topic_score_gemma":0.0008343872,"domain_scores_codex":[0.9996775,0.00007280101,0.00003387589,0.00006770893,0.0001183971,0.0000296726],"domain_scores_gemma":[0.9992266,0.0004103009,0.00005161384,0.00008507135,0.0001368047,0.00008977779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003222244,0.0008091541,0.01453175,0.003966694,0.0003001453,0.002224175,0.004202098,0.004184478,0.2111844,0.004778494,0.07454199,0.6760544],"study_design_scores_gemma":[0.001676586,0.007286001,0.07863305,0.001613206,0.001107021,0.01126598,0.002020497,0.1605844,0.2176603,0.01025222,0.5072,0.0007008312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2128056,0.003203791,0.6091033,0.001556981,0.0004042834,0.003527849,0.007014336,0.1377633,0.02462058],"genre_scores_gemma":[0.658677,0.001556514,0.3071472,0.001269303,0.0001174084,0.002971983,0.004845147,0.002789029,0.02062632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006267499,"threshold_uncertainty_score":0.02096683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969113673635441,"score_gpt":0.2568433329884189,"score_spread":0.2498742193147834,"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."}}