{"id":"W1971816493","doi":"10.1109/iembs.2011.6091439","title":"Wireless inertial measurement unit with GPS (WIMU-GPS) &amp;#x2014; Wearable monitoring platform for ecological assessment of lifespace and mobility in aging and disease","year":2011,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Université Laval; University of Windsor; Université de Sherbrooke; Université du Québec à Montréal; Western University; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Global Positioning System; Computer science; Inertial measurement unit; Wearable computer; Assisted GPS; Precision Lightweight GPS Receiver; Real-time computing; Time to first fix; GPS signals; Embedded system; Telecommunications; Gps receiver; Artificial intelligence","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":[0.0002786591,0.0004112518,0.0003312635,0.0006693135,0.0001855406,0.0004973708,0.0004114023,0.0004962996,0.002500727],"category_scores_gemma":[0.0006596885,0.000144302,0.0002127246,0.0005714783,0.0001790684,0.0005927354,0.0004794713,0.0002433314,0.0009718752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342905,"about_ca_system_score_gemma":0.0002116011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020098,"about_ca_topic_score_gemma":0.001209939,"domain_scores_codex":[0.9997638,0.00007099508,0.00001634418,0.00003635152,0.000095291,0.00001715288],"domain_scores_gemma":[0.999769,0.00005102732,0.00004797739,0.00003764949,0.00006907137,0.00002515619],"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":[0.0005736462,0.0001587245,0.02865546,0.0003904817,0.0000925475,0.0003364818,0.0002677889,0.002045936,0.09346372,0.00377356,0.007719084,0.8625225],"study_design_scores_gemma":[0.0004027055,0.008520448,0.2739458,0.0006315558,0.0007355799,0.008899962,0.000894376,0.1721516,0.2708455,0.008255338,0.2543952,0.0003219793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3021736,0.003941935,0.6707217,0.0007341486,0.0005017653,0.0004600305,0.001195555,0.004075992,0.0161953],"genre_scores_gemma":[0.7139117,0.001833183,0.2706542,0.0004443649,0.0002579094,0.0005229545,0.0009960048,0.00006395185,0.0113158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002500727,"threshold_uncertainty_score":0.008365691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132639682978575,"score_gpt":0.3087834647642452,"score_spread":0.1761437817856702,"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."}}