{"id":"W2508091830","doi":"10.1209/0295-5075/115/27003","title":"Analysis on the energy harvesting cycle of dielectric elastomer generators for performance improvement","year":2016,"lang":"en","type":"article","venue":"Europhysics Letters (EPL)","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Elastomer; Dielectric; Materials science; Energy harvesting; Energy (signal processing); Composite material; Engineering physics; Optoelectronics; Physics","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":[0.0001229629,0.0002275019,0.0002133781,0.0002532269,0.000162683,0.0002296076,0.0003651744,0.0002843688,0.002367903],"category_scores_gemma":[0.000352031,0.00009871677,0.0002512035,0.0002761095,0.0001893117,0.0004299226,0.0001034683,0.0002215792,0.0003297972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964697,"about_ca_system_score_gemma":0.0001603353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756384,"about_ca_topic_score_gemma":0.0004821837,"domain_scores_codex":[0.9999546,0.000005123373,0.000001889468,0.000009930327,0.00001774794,0.00001065343],"domain_scores_gemma":[0.9999197,0.00004266022,0.00001003396,0.000009173506,0.00001461072,0.000003788256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000318849,0.0001455763,0.003220672,0.0003511074,0.00003505211,0.000646036,0.0002388342,0.5237044,0.3615409,0.03450327,0.00107306,0.07422228],"study_design_scores_gemma":[0.000002414132,0.00005032085,0.0008870907,0.000005425413,0.000005657733,0.00006147854,0.00002026251,0.9751781,0.02143878,0.00161753,0.0007272541,0.000005628301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7529771,0.00161738,0.2128601,0.0003615689,0.00003895136,0.00009219324,0.000247016,0.0003613152,0.03144444],"genre_scores_gemma":[0.9936823,0.0002406056,0.003689629,0.00001754759,0.000003345075,0.00001698356,0.00005364481,0.00002213178,0.002273802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002367903,"threshold_uncertainty_score":0.007921457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004681963498854749,"score_gpt":0.1629309031766521,"score_spread":0.1582489396777974,"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."}}