{"id":"W2152919925","doi":"10.1109/ubicomm.2008.70","title":"Wearable Device for Patients Affected by Neurodegenerative Diseases","year":2008,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; European commission; Czech; Affect (linguistics); Work (physics); Population; Wearable technology; Quarter (Canadian coin); Elderly people; Commission; Population ageing; European population; Computer science; Medicine; Internet privacy; Business; Gerontology; Environmental health; Geography; Psychology; Engineering; European union; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002382271,0.0005195304,0.0005351257,0.0004908471,0.0002481662,0.00045718,0.0002978477,0.0006669339,0.009610415],"category_scores_gemma":[0.001100725,0.0001088643,0.0002564799,0.0002894872,0.0001125968,0.0003471343,0.0004867504,0.0003545455,0.003465511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008361891,"about_ca_system_score_gemma":0.0001084265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589066,"about_ca_topic_score_gemma":0.0003104616,"domain_scores_codex":[0.9998477,0.00004936376,0.00001444502,0.00003694211,0.00003633966,0.00001523994],"domain_scores_gemma":[0.9996802,0.0001235988,0.00005773863,0.00003529105,0.00005502045,0.00004806169],"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":[0.002408587,0.0005196788,0.06272139,0.001567067,0.0001516326,0.004237096,0.001853926,0.0006011854,0.1114292,0.001550106,0.04027283,0.7726873],"study_design_scores_gemma":[0.000662775,0.009565966,0.4089223,0.002412002,0.001266418,0.05180659,0.003171772,0.02163748,0.1106208,0.005604097,0.3839514,0.000378304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792928,0.02725155,0.1641813,0.005752626,0.002103017,0.001419125,0.005253484,0.01066832,0.1040777],"genre_scores_gemma":[0.9281471,0.005646522,0.04033068,0.001907631,0.0004906607,0.0005832014,0.0009074513,0.00008237132,0.02190431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009610415,"threshold_uncertainty_score":0.03215003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289528855631676,"score_gpt":0.2368013432780066,"score_spread":0.2139060547216898,"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."}}