{"id":"W2888001524","doi":"10.3390/bios8030079","title":"Breathable Dry Silver/Silver Chloride Electronic Textile Electrodes for Electrodermal Activity Monitoring","year":2018,"lang":"en","type":"article","venue":"Biosensors","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Electrode; Silver chloride; Textile; Materials science; Composite material; Polyester; Biomedical engineering; Nanotechnology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002353819,0.000369873,0.0003264625,0.0001609299,0.0005037845,0.0001800115,0.0005383727,0.0001539544,0.00006987985],"category_scores_gemma":[0.0002281958,0.0003426409,0.0001962667,0.0003819737,0.0001990827,0.0004518685,0.0001003795,0.0003286323,0.000139488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050288,"about_ca_system_score_gemma":0.0001324178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006092427,"about_ca_topic_score_gemma":0.00002513653,"domain_scores_codex":[0.9969612,0.00009244886,0.0002554896,0.0009143819,0.0003305694,0.001445875],"domain_scores_gemma":[0.9987359,0.0004087355,0.0001426252,0.000470396,0.00009963774,0.0001427149],"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":[0.0003434716,0.0001083407,0.000555253,0.00001714622,0.00002028602,0.000004590986,0.0001745376,0.00001411007,0.993807,0.0004736877,0.00103315,0.003448422],"study_design_scores_gemma":[0.0005076876,0.000853372,0.00118136,0.0000238288,0.00002136375,0.00003298002,0.000021707,0.00216147,0.9799553,0.0004374838,0.01440649,0.0003969149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957303,0.00006797245,0.0006023731,0.0003218443,0.0007552423,0.0004645498,0.0000201385,0.0003641106,0.001673473],"genre_scores_gemma":[0.9933532,0.00005006999,0.0003430268,0.0002555981,0.001734019,0.00005238541,0.000001782412,0.00006306066,0.004146856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385166,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495763066491644,"score_gpt":0.2830903228566162,"score_spread":0.2581326921916998,"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."}}