{"id":"W2903261518","doi":"10.1088/1361-665x/aaf3f1","title":"A smart knee implant using triboelectric energy harvesters","year":2018,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Energy harvesting; Triboelectric effect; Voltage; SIGNAL (programming language); Rectifier (neural networks); Capacitance; Electrical engineering; Voltage regulator; Power (physics); Biomedical engineering; Materials science; Engineering; Computer science; Electrode; Physics; Composite material","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":[0.0001354643,0.0002468638,0.000184924,0.0001926949,0.00008710215,0.000369444,0.0002687569,0.0004282262,0.001661599],"category_scores_gemma":[0.0001706024,0.0001570506,0.0001779632,0.0001434555,0.0001556685,0.000507833,0.0002161965,0.0001831531,0.0006220826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003731,"about_ca_system_score_gemma":0.00009258891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009851873,"about_ca_topic_score_gemma":0.0002394569,"domain_scores_codex":[0.9999039,0.000005897421,0.00000745292,0.00002421678,0.00004569483,0.00001283967],"domain_scores_gemma":[0.9999485,0.00001098446,0.00001465787,0.000009547576,0.000008310034,0.000007981529],"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":[0.00005432669,0.00002452351,0.0001679681,0.00008295065,0.000007411213,0.0001048028,0.00002326072,0.0002041618,0.981357,0.0003372353,0.0003008298,0.01733562],"study_design_scores_gemma":[0.00004673535,0.0006123724,0.002573151,0.00002457159,0.00003861203,0.001266512,0.0000370386,0.009287373,0.9696388,0.0004764111,0.01596691,0.00003146002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7537192,0.004085387,0.2260036,0.0007255018,0.000573702,0.0001865656,0.0004852933,0.001550231,0.01267061],"genre_scores_gemma":[0.9371349,0.0009159539,0.0500941,0.0003164728,0.00007031436,0.00006760242,0.0001535792,0.00005250165,0.01119468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001661599,"threshold_uncertainty_score":0.00555861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189113515541725,"score_gpt":0.2190207705428554,"score_spread":0.2071296353874381,"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."}}