{"id":"W3117058866","doi":"10.3390/s21010225","title":"Inductive Textile Sensor Design and Validation for a Wearable Monitoring Device","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Inductive sensor; Wearable computer; Textile; Inductance; Resistive touchscreen; Induction loop; Reliability (semiconductor); Computer science; Process (computing); Electronic engineering; Electrical engineering; Engineering; Embedded system; Voltage; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001710863,0.0006457529,0.0004098215,0.0006129664,0.0003165736,0.0005172742,0.001083955,0.0008807867,0.001614364],"category_scores_gemma":[0.002595755,0.0002061589,0.0004653255,0.0003932726,0.0003663585,0.0005811944,0.0004666837,0.0002909481,0.0008135368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916876,"about_ca_system_score_gemma":0.0004435505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002838885,"about_ca_topic_score_gemma":0.0003178404,"domain_scores_codex":[0.9985839,0.0003066704,0.0001015259,0.0002468621,0.0006917359,0.00006926407],"domain_scores_gemma":[0.9985582,0.000293737,0.0001482382,0.000227242,0.0007193586,0.00005329595],"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":[0.000353175,0.0002903121,0.004057846,0.0008432791,0.00006572523,0.0005033464,0.0003800221,0.01112331,0.9104915,0.002095214,0.001676262,0.06812005],"study_design_scores_gemma":[0.00005371205,0.003561549,0.005838957,0.0001168926,0.0001068072,0.0008857562,0.0002106153,0.05654515,0.9078033,0.0007547706,0.0240576,0.00006489998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3347577,0.001209328,0.6523858,0.0004466115,0.0005389805,0.001421473,0.000744822,0.001356508,0.007138697],"genre_scores_gemma":[0.7704284,0.0008485932,0.2184489,0.00024742,0.00006033721,0.001068692,0.0005843642,0.0001107686,0.008202562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001710863,"threshold_uncertainty_score":0.009047985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846086318705905,"score_gpt":0.2611675008761204,"score_spread":0.2227066376890613,"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."}}