{"id":"W116786439","doi":"10.1533/9780857093530.1.154","title":"Soft capacitance fibers for touch-sensitive smart textiles","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Touchpad; Capacitor; Capacitance; Fiber; Tactile sensor; Wearable computer; Materials science; Computer science; Electrical engineering; Electronic engineering; Optoelectronics; Computer hardware; Engineering; Embedded system; Physics; Artificial intelligence; Electrode; Voltage; Composite material","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":[0.0001143107,0.0007874689,0.0002360226,0.0007314382,0.0002818451,0.001026796,0.0004201487,0.0007084578,0.01576599],"category_scores_gemma":[0.0001727881,0.0002585011,0.0002148769,0.0007916574,0.0002974229,0.00142365,0.0005267627,0.0007656041,0.003587851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003540571,"about_ca_system_score_gemma":0.000140792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002006029,"about_ca_topic_score_gemma":0.0006426233,"domain_scores_codex":[0.9998881,0.000004577416,0.000004340486,0.00002747141,0.00006406206,0.00001155531],"domain_scores_gemma":[0.9999275,0.00003056956,0.000008538256,0.000007950821,0.00001720223,0.000008152218],"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":[0.0000562761,0.00009155829,0.0001295619,0.001285971,0.00001737727,0.0003974866,0.0001591642,0.001849542,0.3931909,0.04379058,0.02409898,0.5349326],"study_design_scores_gemma":[0.00001383076,0.0001580759,0.001061122,0.0003743625,0.00002017429,0.00171486,0.0001059818,0.008162304,0.2593446,0.02477559,0.7042063,0.00006290516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06623349,0.1995964,0.2238694,0.002209062,0.005823828,0.0002263344,0.0006705679,0.001371239,0.4999997],"genre_scores_gemma":[0.1646852,0.08374926,0.06923296,0.0007169603,0.001009202,0.0001380327,0.0004532048,0.0003803198,0.6796349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01576599,"threshold_uncertainty_score":0.05274248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470246433381958,"score_gpt":0.2092970884967272,"score_spread":0.1945946241629076,"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."}}