{"id":"W2888319272","doi":"10.1109/percom.2018.8444580","title":"Activity Classification in Independent Living Environment with JINS MEME Eyewear","year":2018,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Eyewear; Wearable computer; Activities of daily living; Computer science; Independent living; Population; Assisted living; Wearable technology; Medicine; Human–computer interaction; Physical medicine and rehabilitation; Gerontology; Embedded system; Physical therapy; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003600962,0.0003447074,0.0004214626,0.001267368,0.0001026284,0.0003434191,0.0002463322,0.0002899427,0.001105349],"category_scores_gemma":[0.0009236443,0.0001020974,0.0002817572,0.0005804736,0.00009675878,0.0003673729,0.0004885861,0.000165369,0.0004784069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146627,"about_ca_system_score_gemma":0.0001039202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203729,"about_ca_topic_score_gemma":0.006096999,"domain_scores_codex":[0.9997724,0.00004960884,0.00001905673,0.00007876979,0.00005534715,0.00002492012],"domain_scores_gemma":[0.9997327,0.0000863602,0.00004341163,0.00003644032,0.00007610947,0.00002494542],"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":[0.0015878,0.000593608,0.2382152,0.000404168,0.0003064002,0.0004978011,0.0008855402,0.003802723,0.08086726,0.0003751906,0.003104527,0.6693598],"study_design_scores_gemma":[0.00009040446,0.001037157,0.8490626,0.0000604346,0.0001189603,0.0009756715,0.0007726939,0.1192313,0.02407206,0.0005444543,0.003969698,0.00006463061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719144,0.000220931,0.02393583,0.00005741424,0.00002827148,0.00011694,0.001400699,0.0005721776,0.001753365],"genre_scores_gemma":[0.9624017,0.0001661968,0.0343844,0.00003670334,0.00001778543,0.0001045676,0.001238102,0.00001728149,0.001633255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002203729,"threshold_uncertainty_score":0.004381776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209787168668771,"score_gpt":0.2345711653978763,"score_spread":0.2135924485309992,"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."}}