{"id":"W1580344946","doi":"10.1109/bwcca.2014.61","title":"Impact of Sensor Sensitivity in Assistive Environment","year":2014,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Reliability (semiconductor); Mobile device; Tracking (education); Motion (physics); Match moving; Assistive technology; Work (physics); Controller (irrigation); Human–computer interaction; Physical medicine and rehabilitation; Telemedicine; Motion sensors; Simulation; Multimedia; Health care; Artificial intelligence; Medicine; Engineering; Psychology; Operating 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":[0.001947663,0.0007716461,0.000577311,0.0007622031,0.0003878512,0.0009758445,0.000505267,0.00106777,0.003524646],"category_scores_gemma":[0.01543491,0.000413872,0.0004722771,0.0004391908,0.0004889307,0.001377165,0.0009646713,0.0004386318,0.000823343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939147,"about_ca_system_score_gemma":0.0002840019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354512,"about_ca_topic_score_gemma":0.0006158107,"domain_scores_codex":[0.9977607,0.0006492473,0.0001155565,0.0004469423,0.000810053,0.0002175289],"domain_scores_gemma":[0.9878792,0.008657693,0.0004267863,0.0008671521,0.002021766,0.0001474307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004823666,0.000458324,0.1366953,0.002642413,0.0007028191,0.003485449,0.001369385,0.1548565,0.3712847,0.004922704,0.004487372,0.3142715],"study_design_scores_gemma":[0.00008449714,0.003716141,0.3712499,0.0005241093,0.001100299,0.007855978,0.001571606,0.1852516,0.4098567,0.006774606,0.01176419,0.000250409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706232,0.004184358,0.101092,0.0009505349,0.0007886515,0.0001598983,0.0008581775,0.001248104,0.02009498],"genre_scores_gemma":[0.9958555,0.0003434333,0.002302414,0.0002232273,0.00002521983,0.00001781699,0.0001096038,0.00004122345,0.001081489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003524646,"threshold_uncertainty_score":0.01179105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842304366279336,"score_gpt":0.2763088991891049,"score_spread":0.2664665948228255,"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."}}