{"id":"W2995352287","doi":"10.1177/1045389x19891526","title":"Performance of tapered cantilever piezoelectric energy harvester based on Euler–Bernoulli and Timoshenko Beam theories","year":2019,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Unimorph; Cantilever; Timoshenko beam theory; Tapering; Piezoelectricity; Beam (structure); Bimorph; Finite element method; Vibration; Energy harvesting; Polynomial; Structural engineering; Euler's formula; Materials science; Acoustics; Power (physics); Mathematics; Physics; Mathematical analysis; Engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001858061,0.00019221,0.0003878652,0.0002400532,0.00003396131,0.0001102486,0.0001431559,0.0001189086,0.00003229894],"category_scores_gemma":[0.00004023993,0.0001339404,0.00003391455,0.000121003,0.00007243222,0.0001781066,0.00002642423,0.0001278431,4.562315e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003702458,"about_ca_system_score_gemma":0.00002009003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005947957,"about_ca_topic_score_gemma":0.00000180589,"domain_scores_codex":[0.9989908,0.00003168052,0.0005022607,0.0001066798,0.0001994504,0.0001691772],"domain_scores_gemma":[0.9993818,0.00006746806,0.0002432022,0.0001420625,0.0001313105,0.00003412545],"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":[0.001549265,0.00006712884,0.04395203,0.003755371,0.0006347732,0.00004224225,0.0006978273,0.2595372,0.5440638,0.1120332,0.001340968,0.03232623],"study_design_scores_gemma":[0.0008135143,0.001808453,0.02847917,0.001071394,0.00005489172,0.0002619147,0.0002708482,0.03700005,0.9238948,0.001063674,0.004654281,0.0006270336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964796,0.000383199,0.001071498,0.000008037635,0.00166622,0.00006492491,0.00001525228,0.000035819,0.0002754244],"genre_scores_gemma":[0.9993309,0.0001668437,0.0002266138,0.00001213432,0.0001403917,0.000001990172,0.00000237417,0.00002295974,0.00009575771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379831,"threshold_uncertainty_score":0.5461929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005772935716676743,"score_gpt":0.1869151591735489,"score_spread":0.1811422234568721,"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."}}