{"id":"W2786626979","doi":"10.1177/1045389x17754263","title":"Simultaneous vibration suppression and energy harvesting with a non-traditional vibration absorber","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Dynamic Vibration Absorber; Tuned mass damper; Vibration; Energy harvesting; Damper; Vibration control; Energy (signal processing); Acoustics; Shock absorber; Frequency band; Damping torque; Engineering; Control theory (sociology); Structural engineering; Physics; Computer science; Electrical engineering; Bandwidth (computing); Voltage; Telecommunications","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":[0.0001816852,0.0003094961,0.0003596819,0.0002465547,0.0001389708,0.0002171534,0.0005724159,0.0003338451,0.0007127754],"category_scores_gemma":[0.0002605846,0.0001336084,0.0002952598,0.0001747963,0.0003654341,0.0005642158,0.000343006,0.0001911583,0.0001788937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009940625,"about_ca_system_score_gemma":0.00006086224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003044236,"about_ca_topic_score_gemma":0.00007918409,"domain_scores_codex":[0.9998504,0.00001791098,0.000008465245,0.00004363584,0.00006162237,0.00001792838],"domain_scores_gemma":[0.9998206,0.00008365404,0.00004551515,0.00002347562,0.00001726994,0.000009439475],"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":[0.0001087317,0.00002876692,0.0002712474,0.0001086273,0.00001251477,0.00007981306,0.00002886285,0.0008504167,0.986841,0.000581986,0.00003108302,0.01105716],"study_design_scores_gemma":[0.00003849237,0.001034769,0.002649943,0.00001876664,0.00006051654,0.0003592253,0.00005244132,0.02743614,0.9652448,0.0005797077,0.002506514,0.00001853186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7809465,0.001411476,0.2143738,0.0001181363,0.0001223961,0.00005268638,0.00001983567,0.0002200909,0.00273496],"genre_scores_gemma":[0.9774987,0.0003030748,0.02091115,0.00003118218,0.00003000134,0.00002019669,0.00001045673,0.000009855413,0.001185526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007127754,"threshold_uncertainty_score":0.002384484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172732183248377,"score_gpt":0.207751766869974,"score_spread":0.1960244450374902,"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."}}