{"id":"W4392727348","doi":"10.1002/aisy.202300792","title":"Self‐Powered Smart Vibration Absorber for In Situ Sensing and Energy Harvesting","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Jiangsu Provincial Key Research and Development Program; China Scholarship Council; National Natural Science Foundation of China","keywords":"Triboelectric effect; Vibration; Energy harvesting; Impulse (physics); Acoustics; SIGNAL (programming language); Shock absorber; Smart material; Materials science; Energy (signal processing); Computer science; Structural engineering; Engineering; Nanotechnology; 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":[0.0001258331,0.0001957719,0.0001606127,0.0002016057,0.0001204449,0.0002065184,0.0002421756,0.0002769761,0.001233921],"category_scores_gemma":[0.000144796,0.0001301993,0.0001957725,0.0001617116,0.000154824,0.000403539,0.0002602673,0.0003256227,0.0003134834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006952,"about_ca_system_score_gemma":0.00007830188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332074,"about_ca_topic_score_gemma":0.0001910577,"domain_scores_codex":[0.9999007,0.0000129939,0.000005146818,0.00002359177,0.00004402023,0.00001361895],"domain_scores_gemma":[0.9999222,0.00002039408,0.00002706614,0.00001199361,0.0000103397,0.000008076587],"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":[0.00001428841,0.00001579365,0.0001152968,0.00003615697,0.000003237044,0.00002987732,0.00001274254,0.000286754,0.9947403,0.0003525559,0.00008395265,0.004309084],"study_design_scores_gemma":[0.000007130059,0.00008794449,0.0005296989,0.000003644419,0.000007154171,0.0001357329,0.00001985801,0.007675357,0.9893696,0.00008840968,0.002066099,0.000009344564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938899,0.001538977,0.09856908,0.0002110133,0.0001472263,0.00003874215,0.0001196302,0.0005015266,0.004983775],"genre_scores_gemma":[0.9484109,0.0003941504,0.04765297,0.00007761067,0.00002508695,0.00002943963,0.0000462266,0.00003083179,0.003332739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233921,"threshold_uncertainty_score":0.00412792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475218898089141,"score_gpt":0.238251545856724,"score_spread":0.2234993568758326,"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."}}