{"id":"W3159514891","doi":"10.1016/j.apenergy.2021.116947","title":"Dynamic performance of piezoelectric energy harvesters with a multifunctional nanocomposite substrate","year":2021,"lang":"en","type":"article","venue":"Applied Energy","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanocomposite; Piezoelectricity; Substrate (aquarium); Materials science; Energy (signal processing); Composite material; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001716876,0.0002333514,0.000233431,0.0001456215,0.0001402265,0.0003098335,0.0003117111,0.0003017555,0.001675722],"category_scores_gemma":[0.0002876348,0.0001742475,0.0001393393,0.000212097,0.0001649935,0.0003517126,0.000187863,0.0002507671,0.0002618621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742601,"about_ca_system_score_gemma":0.0001063227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003893642,"about_ca_topic_score_gemma":0.0007175485,"domain_scores_codex":[0.9998671,0.000008982484,0.000007338846,0.00004127131,0.00004593091,0.00002939342],"domain_scores_gemma":[0.9998797,0.00004519912,0.00002207397,0.00001066015,0.00002900293,0.00001334217],"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":[0.0001679553,0.00001248801,0.0001859556,0.00002529217,0.000005369993,0.00004286276,0.00002851923,0.0002391391,0.9973881,0.00004930172,0.00006576331,0.0017893],"study_design_scores_gemma":[0.00000851599,0.0001659989,0.002019108,0.000003076432,0.000009783933,0.00003645949,0.00003866086,0.00520185,0.9920382,0.00001539729,0.0004563584,0.000006589264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978741,0.0002049653,0.0008935293,0.00003691602,0.00001893172,0.000003607935,0.00005068291,0.00004253111,0.0008748553],"genre_scores_gemma":[0.9977997,0.00009267666,0.0006031939,0.00001010687,0.000005486652,0.000004993243,0.00004536086,0.00001061202,0.00142796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675722,"threshold_uncertainty_score":0.005605876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005606889045687369,"score_gpt":0.1733345432790611,"score_spread":0.1677276542333737,"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."}}