{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007082456,0.0001602494,0.0001321164,0.0001214222,0.00006753008,0.0001314222,0.0002328812,0.0001679551,0.0005193984],"category_scores_gemma":[0.00008937567,0.0001288903,0.0001406218,0.000117877,0.0001032653,0.0002180546,0.00015033,0.0001576072,0.0001303959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330805,"about_ca_system_score_gemma":0.00005513569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002021065,"about_ca_topic_score_gemma":0.0005301112,"domain_scores_codex":[0.9999589,0.000002159956,0.000001989932,0.00001536656,0.00001591287,0.000005752164],"domain_scores_gemma":[0.9999535,0.000009610685,0.00001681927,0.000004352817,0.000009177763,0.000006548513],"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":[0.0000173542,0.000008466023,0.00007166692,0.00001930436,0.000002635197,0.00002100443,0.000006497592,0.0002719942,0.9983701,0.00005382485,0.00002945103,0.00112772],"study_design_scores_gemma":[0.00001239391,0.0001236659,0.001777725,0.000004448324,0.0000111434,0.00005047079,0.00001625016,0.01134154,0.9855804,0.00003720709,0.001037129,0.000007658293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877387,0.0003488747,0.01067016,0.00005186894,0.0000305078,0.00001130311,0.00007755296,0.0001170774,0.0009540037],"genre_scores_gemma":[0.990817,0.0001471298,0.007280757,0.00001560458,0.000005353991,0.00001373958,0.00003705845,0.0000118019,0.001671656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005193984,"threshold_uncertainty_score":0.001737535,"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."}}