{"id":"W3169360062","doi":"10.1002/pc.26169","title":"Low‐frequency nanocomposite piezoelectric energy harvester with embedded zinc oxide nanowires","year":2021,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Multiphysics; Nanocomposite; Piezoelectricity; Materials science; Nanowire; Energy harvesting; Optoelectronics; Microelectromechanical systems; Composite material; Power (physics); Physics; Structural engineering; Engineering; Finite element method","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006142122,0.0004805741,0.0004290441,0.0003428092,0.0001819878,0.0002540683,0.0004555063,0.0001741156,0.00004472819],"category_scores_gemma":[0.00002870279,0.0004446632,0.00009166789,0.001499397,0.0001662009,0.0005479094,0.0001398087,0.000307991,0.00003269998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111568,"about_ca_system_score_gemma":0.00007570936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010206,"about_ca_topic_score_gemma":0.00009668099,"domain_scores_codex":[0.9980495,0.00006971176,0.0004099312,0.0004803948,0.0003034996,0.0006869548],"domain_scores_gemma":[0.9987987,0.0001571396,0.0000847654,0.0006781587,0.0001894749,0.00009177179],"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":[0.00001299267,0.00007192659,0.002679199,0.00005284138,0.0002133451,0.0002128579,0.00006399753,0.0009743654,0.9600837,0.03043153,0.0004980754,0.004705175],"study_design_scores_gemma":[0.0003988058,0.00007300368,0.001531112,0.0001572334,0.00003726819,0.000198833,0.00002456654,0.002020185,0.993721,0.000490105,0.0007332148,0.0006146782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436163,0.006669194,0.03755902,0.0002240342,0.0002608473,0.00009219607,0.00001585234,0.002765077,0.008797455],"genre_scores_gemma":[0.9817051,0.00005720311,0.015243,0.0003003018,0.00008227507,0.00006840547,0.00007097851,0.0001280403,0.002344686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03808879,"threshold_uncertainty_score":0.9998005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006773342243085418,"score_gpt":0.1916781328062679,"score_spread":0.1849047905631825,"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."}}