{"id":"W2884123940","doi":"10.1016/b978-0-12-811810-8.00007-5","title":"Wearable Technologies and Force Myography for Healthcare","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wearable computer; Electrical impedance myography; Exoskeleton; Accelerometer; Computer science; Human–computer interaction; Physical medicine and rehabilitation; Wearable technology; Simulation; Medicine; Embedded system","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":[0.0003502167,0.001331139,0.0006431717,0.001731709,0.0003804796,0.002067268,0.0006793642,0.00152061,0.07204512],"category_scores_gemma":[0.0006261151,0.0003957906,0.0003424774,0.002082754,0.0006114026,0.003088961,0.00144994,0.001124259,0.03347895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566168,"about_ca_system_score_gemma":0.0003540491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006002577,"about_ca_topic_score_gemma":0.001328141,"domain_scores_codex":[0.9997119,0.00003631394,0.00002070275,0.00005496708,0.000157273,0.00001871195],"domain_scores_gemma":[0.99979,0.00009613812,0.00001384701,0.00002831851,0.00005104751,0.00002073982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002194725,0.00003330569,0.0001114482,0.0007251469,0.00001269095,0.00008535579,0.0001674309,0.0005159896,0.006038752,0.03432349,0.1057597,0.8522047],"study_design_scores_gemma":[0.000004672585,0.00005148186,0.0006193613,0.0006938005,0.000009201994,0.0005861087,0.00009780242,0.001343873,0.00162805,0.01967975,0.9752675,0.000018486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002742896,0.2569697,0.1368927,0.004294083,0.007089238,0.0001115453,0.0006224572,0.001392984,0.5898843],"genre_scores_gemma":[0.01168007,0.1054574,0.03060497,0.001104835,0.002739714,0.00009113544,0.0004410312,0.0003550836,0.8475257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07204512,"threshold_uncertainty_score":0.241015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232770898652521,"score_gpt":0.2512570560406606,"score_spread":0.2289293470541354,"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."}}