{"id":"W1637134179","doi":"10.1109/icorr.2015.7281278","title":"A wearable sensor system for rehabilitation apllications","year":2015,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wearable computer; Computer science; Rehabilitation; Human–computer interaction; Embedded system; Medicine; Physical therapy","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":[0.0004850386,0.0008058813,0.000662086,0.00091803,0.0003330285,0.0006978991,0.0008261813,0.0009792439,0.008625068],"category_scores_gemma":[0.0008478226,0.0002937101,0.0003612891,0.0006207026,0.0002198909,0.0007211338,0.00054299,0.0005373716,0.003907588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298396,"about_ca_system_score_gemma":0.0003084713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003499778,"about_ca_topic_score_gemma":0.0004604803,"domain_scores_codex":[0.9992213,0.0001424471,0.00007524469,0.0001594721,0.0003620834,0.00003933145],"domain_scores_gemma":[0.999603,0.00007734334,0.0000576633,0.00006148784,0.0001610615,0.0000394433],"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":[0.0008988962,0.0002440336,0.003260443,0.001124905,0.0001245634,0.0006203978,0.0002231369,0.001583358,0.410383,0.002566854,0.0193996,0.5595708],"study_design_scores_gemma":[0.0004180334,0.006859426,0.04347062,0.0006590986,0.0005438997,0.01005026,0.0003240544,0.07939461,0.5177051,0.003469749,0.3367035,0.0004016555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07100735,0.009504583,0.8766761,0.000961584,0.002487155,0.001060917,0.001853656,0.01571112,0.02073754],"genre_scores_gemma":[0.6089646,0.005333802,0.3187144,0.001958202,0.0009206528,0.001512976,0.002085956,0.0003692136,0.0601402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008625068,"threshold_uncertainty_score":0.02885371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025606556916475,"score_gpt":0.306440013660375,"score_spread":0.2761839480912103,"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."}}