{"id":"W4282920391","doi":"10.1039/d2nh00163b","title":"Applications of biomemristors in next generation wearable electronics","year":2022,"lang":"en","type":"review","venue":"Nanoscale Horizons","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Science and Technology Infrastructure Program; Sichuan Province Science and Technology Support Program; Fujian Normal University","keywords":"Wearable computer; Wearable technology; Electronics; Computer science; Engineering; Human–computer interaction; Embedded system; Electrical engineering","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":[0.0003806246,0.0006886606,0.0006014193,0.001919499,0.0002811009,0.0007449285,0.000520096,0.0009856584,0.002877349],"category_scores_gemma":[0.0003546515,0.0002563946,0.000412779,0.001493493,0.0003740359,0.001375008,0.0006274392,0.001366068,0.001323922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003807892,"about_ca_system_score_gemma":0.0005118364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888886,"about_ca_topic_score_gemma":0.0008586461,"domain_scores_codex":[0.9998716,0.00001845164,0.0000122004,0.00002772182,0.00005178708,0.00001834617],"domain_scores_gemma":[0.9998749,0.00006402183,0.00001579619,0.000005746253,0.00003053787,0.000008841161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003988291,0.00008934068,0.000219019,0.01802003,0.00005110299,0.0004091073,0.0001601632,0.0008284459,0.01969481,0.0259494,0.01759241,0.9169463],"study_design_scores_gemma":[0.00000633711,0.0001141379,0.0004564306,0.002917624,0.00004822387,0.001582761,0.00008513525,0.00038003,0.004744387,0.005843348,0.9837981,0.00002354172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004685329,0.9946072,0.0008969883,0.0002699525,0.000251052,0.000008863922,0.00001613741,0.00001447769,0.003466887],"genre_scores_gemma":[0.003315162,0.9938433,0.0009290944,0.0002100788,0.0001781524,0.00001446021,0.00002582999,0.000003124915,0.001480732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002877349,"threshold_uncertainty_score":0.009625733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05558133206837528,"score_gpt":0.293739641598492,"score_spread":0.2381583095301167,"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."}}