{"id":"W4307156529","doi":"10.1007/s42765-022-00221-z","title":"Robust, Breathable and Flexible Smart Textiles as Multifunctional Sensor and Heater for Personal Health Management","year":2022,"lang":"en","type":"article","venue":"Advanced Fiber Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Zhejiang Provincial Outstanding Youth Science Foundation; Zhejiang Key Laboratory of Safety Engineering and Technology; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Materials science; Wearable computer; Computer science; Wearable technology; Kevlar; Weaving; Composite number; Nanotechnology; Composite material; 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":[0.0001571966,0.0002413616,0.0001497037,0.00013927,0.0001145999,0.0003375021,0.0001845784,0.0004539995,0.001301997],"category_scores_gemma":[0.0001808647,0.0001261586,0.0001855643,0.0001018993,0.0001963353,0.0004307521,0.0002740578,0.0002344436,0.0003363505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012917,"about_ca_system_score_gemma":0.00007240374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008381441,"about_ca_topic_score_gemma":0.0002550526,"domain_scores_codex":[0.9998896,0.00001605115,0.000006651111,0.00002998115,0.0000364524,0.0000212251],"domain_scores_gemma":[0.9999123,0.00001502474,0.00002551489,0.00001493271,0.00001724357,0.00001496915],"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":[0.00006468166,0.0000162736,0.0002428137,0.00006275268,0.000006795301,0.0001249817,0.0000303795,0.0003495672,0.9913425,0.0004121248,0.0002553223,0.00709172],"study_design_scores_gemma":[0.00001347343,0.0004313817,0.003184924,0.00001826756,0.00002311272,0.0004155487,0.00008689555,0.008650661,0.979727,0.0003922571,0.007034998,0.00002148532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339578,0.004365444,0.05243706,0.0005175258,0.0003770161,0.00006989164,0.00028933,0.0004141774,0.007571747],"genre_scores_gemma":[0.9848855,0.0005960341,0.008558508,0.0001140725,0.00003506814,0.00001822849,0.00006319179,0.00002281542,0.005706582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301997,"threshold_uncertainty_score":0.004355609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858968814003428,"score_gpt":0.2316328585220167,"score_spread":0.2130431703819824,"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."}}