{"id":"W2964979551","doi":"","title":"MEMS piezoelectric vibrational energy harvesters and circuits for IoT applications","year":2019,"lang":"en","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"Energy harvesting; Proof mass; Cantilever; Microelectromechanical systems; Miniaturization; Electrical engineering; Power (physics); Piezoelectricity; Vibration; Electronic circuit; Beam (structure); Electronic engineering; Engineering; Acoustics; Materials science; Optoelectronics; Physics; Structural engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007045706,0.001147945,0.001026375,0.001896254,0.000452044,0.0003550871,0.002357068,0.002401957,0.00003917742],"category_scores_gemma":[0.001514667,0.001251879,0.0002497474,0.003948783,0.0008881268,0.000574433,0.0006951304,0.001734869,0.00004967404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006904259,"about_ca_system_score_gemma":0.0004247898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000470968,"about_ca_topic_score_gemma":0.0001944489,"domain_scores_codex":[0.9948231,0.0000467095,0.0009220128,0.001525514,0.0005105942,0.002172089],"domain_scores_gemma":[0.9962242,0.0007024999,0.0003372412,0.002148192,0.0003932905,0.0001946408],"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":[0.0001180723,0.0004310887,0.02359922,0.000741599,0.0006895115,0.0001232528,0.000216823,0.1278037,0.3693749,0.308298,0.01766194,0.150942],"study_design_scores_gemma":[0.004038358,0.001727836,0.006502427,0.0003313922,0.0002438675,0.0006065952,0.004474745,0.2223286,0.5129032,0.07067469,0.1713593,0.00480901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2251359,0.002260804,0.7367617,0.003525335,0.0003923007,0.002772501,0.0001908319,0.02736696,0.00159362],"genre_scores_gemma":[0.9609128,0.0003748525,0.03218229,0.0005241502,0.0001238423,0.004210162,0.0001194433,0.0003046507,0.001247815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7357769,"threshold_uncertainty_score":0.9989931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008856098146717086,"score_gpt":0.221163150802538,"score_spread":0.2123070526558209,"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."}}