{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001368332,0.0002741374,0.0001895317,0.0003108131,0.0001185373,0.0002285481,0.0003363655,0.0003841748,0.001244343],"category_scores_gemma":[0.0003153311,0.0001513109,0.0002031054,0.0002851417,0.0001738912,0.0003968189,0.0003094486,0.0003762466,0.0006168787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716319,"about_ca_system_score_gemma":0.0001491914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615748,"about_ca_topic_score_gemma":0.0006161765,"domain_scores_codex":[0.9998268,0.00001755464,0.000009670614,0.000039044,0.00009368956,0.00001329772],"domain_scores_gemma":[0.9998438,0.00003313425,0.00005101464,0.00001420592,0.00004357725,0.00001416617],"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":[0.00002314473,0.000009554388,0.0001745929,0.00009608846,0.000004953264,0.00008661344,0.00001593949,0.00007823947,0.9860054,0.0002863038,0.0003378129,0.01288133],"study_design_scores_gemma":[0.00001613759,0.0005248719,0.00439114,0.00003889615,0.0000347332,0.0009136425,0.00004786201,0.005112336,0.9742431,0.0003250627,0.01432814,0.00002413928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.592696,0.02531104,0.3643225,0.0009501632,0.001407836,0.0003094863,0.0009824642,0.001656096,0.01236456],"genre_scores_gemma":[0.862712,0.006082476,0.1240852,0.0005534459,0.0002391196,0.0001141695,0.0003246632,0.00005428979,0.005834562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244343,"threshold_uncertainty_score":0.004162729,"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."}}