{"id":"W3005837745","doi":"10.1016/s1474-4422(20)30033-8","title":"Wearable-based mobility monitoring: the long road ahead","year":2020,"lang":"en","type":"letter","venue":"The Lancet Neurology","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Ipsen; University of Toronto; UCB; Dystonia Medical Research Foundation Canada; Michael J. Fox Foundation for Parkinson's Research; Cummings Foundation; Sunovion; Medtronic; AbbVie Canada; Boston Scientific Corporation; Chiesi Farmaceutici","keywords":"Wearable computer; Wearable technology; Computer science; Clinical trial; Warning system; Tracking (education); Data science; Artificial intelligence; Medicine; Psychology; Embedded system; Telecommunications","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":[0.007055493,0.001020893,0.002401666,0.001190098,0.0009746603,0.00354415,0.002531522,0.02365405,0.008317045],"category_scores_gemma":[0.03086587,0.00055719,0.001438525,0.0009567108,0.002908715,0.008479942,0.00170146,0.02506129,0.008001908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234012,"about_ca_system_score_gemma":0.001572997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333594,"about_ca_topic_score_gemma":0.007360545,"domain_scores_codex":[0.994996,0.002133039,0.0005486968,0.0006022716,0.001433953,0.0002861095],"domain_scores_gemma":[0.9519994,0.03480094,0.001405783,0.001211405,0.008031904,0.002550641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894513,0.00006938554,0.001479539,0.0006105168,0.00007800378,0.0005244246,0.0001095633,0.0001918877,0.0006155064,0.006554882,0.8029813,0.1865955],"study_design_scores_gemma":[0.000132457,0.0001802353,0.002680815,0.002440488,0.00009336502,0.002159708,0.0006987327,0.00186505,0.0003568733,0.03968508,0.949604,0.0001033139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002738652,0.031622,0.002427819,0.9450152,0.01802307,0.00001142931,0.0001677975,0.0001260113,0.002332772],"genre_scores_gemma":[0.01032557,0.05258645,0.006421557,0.7538922,0.1716183,0.0001032774,0.000281895,0.00008342764,0.004687323],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02365405,"threshold_uncertainty_score":0.03731346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08102115550176789,"score_gpt":0.2829845473969714,"score_spread":0.2019633918952035,"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."}}