{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160953,0.0001720281,0.0003111041,0.0001162646,0.00009186668,0.00008315711,0.0002174021,0.00005561174,0.000008481942],"category_scores_gemma":[0.00008915295,0.0001347474,0.00003239015,0.0001790468,0.00007604012,0.0006505876,0.0002135204,0.0001261624,7.198397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033729,"about_ca_system_score_gemma":0.0002040367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000490835,"about_ca_topic_score_gemma":0.0009493394,"domain_scores_codex":[0.9984881,0.00009235243,0.0003084285,0.0004647471,0.0003714939,0.0002749009],"domain_scores_gemma":[0.9988393,0.000226202,0.0001359999,0.000324629,0.0002337102,0.0002401233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001974516,0.0008710581,0.9700862,0.0002928195,0.00006366852,0.000006320903,0.001354464,0.00004883349,0.002669625,0.00141971,0.00001171353,0.02297812],"study_design_scores_gemma":[0.00205076,0.0003841369,0.9750311,0.0003503014,0.000028117,0.000009880043,0.0005394654,0.01805838,0.002296355,0.000731658,0.0001472415,0.0003725407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732249,0.00005818488,0.225613,0.0001176937,0.00009132154,0.0005965221,0.000002996096,0.00005146919,0.0002438345],"genre_scores_gemma":[0.9860935,0.00001248799,0.01364582,0.00002266162,0.00002829713,0.0001501228,5.687811e-7,0.000008032976,0.0000385608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2128685,"threshold_uncertainty_score":0.5494839,"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."}}