{"id":"W4376133073","doi":"10.1002/adhm.202300142","title":"Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Polydimethylsiloxane; Materials science; Electroencephalography; Electrode; Biomedical engineering; Wearable computer; Nanotechnology; Computer science; Composite material; Embedded system; Medicine; 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":[0.0002286566,0.0003604421,0.0006132137,0.0002007466,0.000224526,0.00007526173,0.0002087967,0.0001814376,0.00007311206],"category_scores_gemma":[0.000133999,0.0003764078,0.00009947853,0.0004305267,0.00005277163,0.000282134,0.00003352866,0.0001002861,0.0001767907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008370164,"about_ca_system_score_gemma":0.00002571929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744298,"about_ca_topic_score_gemma":0.00005945023,"domain_scores_codex":[0.9976755,0.00008851519,0.0005905072,0.0004797516,0.0001802069,0.000985459],"domain_scores_gemma":[0.998888,0.0002895514,0.0001040054,0.0004062043,0.0001140167,0.0001982854],"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":[0.0001212764,0.000007332651,0.00004455354,0.0003320757,0.00004371532,0.00001548236,0.000163883,0.02949278,0.96507,0.0006210187,0.0008175654,0.003270334],"study_design_scores_gemma":[0.0007921233,0.0001470251,0.001504876,0.0002307416,0.00002088317,0.000005386881,0.0002011254,0.00041527,0.966827,0.01987552,0.009417954,0.000562096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908317,0.0004872059,0.001107678,0.0003242545,0.002946845,0.0006197696,0.0009290249,0.002623149,0.0001303476],"genre_scores_gemma":[0.9873946,0.001412781,0.008993831,0.0002056042,0.0005940222,0.0004545171,0.0005764088,0.0001719833,0.0001962261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02907751,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786840422330886,"score_gpt":0.2641945738540713,"score_spread":0.2463261696307624,"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."}}