{"id":"W1523513542","doi":"10.1109/icra.2015.7139544","title":"Wearable soft artificial skin for hand motion detection with embedded microfluidic strain sensing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Microfluidics; Soft robotics; Electrical conductor; Microcontroller; Elastomer; Hyperelastic material; Actuator; Computer science; Acoustics; Mechanical engineering; Nanotechnology; Computer hardware; Composite material; Engineering; Artificial intelligence; Structural engineering","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":[0.0001889801,0.0004032931,0.000294762,0.0002848217,0.0001395814,0.0003437852,0.0003938319,0.0003538798,0.0008534006],"category_scores_gemma":[0.00037546,0.0001961561,0.0002726283,0.0001571703,0.0002324604,0.0004723033,0.0004282997,0.0002354795,0.000329046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623386,"about_ca_system_score_gemma":0.0001487846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008884543,"about_ca_topic_score_gemma":0.0002265117,"domain_scores_codex":[0.9998102,0.00003497014,0.00001362704,0.00004421997,0.00007772988,0.00001934005],"domain_scores_gemma":[0.9997762,0.00007559259,0.0000522894,0.00002982906,0.00003646478,0.00002955422],"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":[0.00003627949,0.00002314073,0.0001999774,0.00009799638,0.000006287851,0.0001029125,0.00002072921,0.0006144467,0.9800968,0.0001883869,0.00008709165,0.01852591],"study_design_scores_gemma":[0.00001776826,0.0005183427,0.00221361,0.00002487546,0.00003015286,0.001051123,0.00003870286,0.0142813,0.9750987,0.0002869045,0.006408119,0.00003051856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6088039,0.007227694,0.3762921,0.0003245676,0.0004979818,0.0002291096,0.0001819252,0.000936221,0.005506461],"genre_scores_gemma":[0.859527,0.001446843,0.1352764,0.0002216344,0.00007118528,0.0001007093,0.00006257474,0.00003229752,0.003261306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008534006,"threshold_uncertainty_score":0.002854884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461974622607256,"score_gpt":0.2278323049539725,"score_spread":0.2032125587278999,"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."}}