{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001348172,0.0003259295,0.0001828372,0.000249128,0.0002041749,0.0005067975,0.0003901939,0.0005597245,0.006400457],"category_scores_gemma":[0.0002266646,0.0002466732,0.0002262361,0.0003359467,0.0002061872,0.0006641273,0.0002985325,0.0005026821,0.001606701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002674377,"about_ca_system_score_gemma":0.0001941295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844169,"about_ca_topic_score_gemma":0.0003984464,"domain_scores_codex":[0.9998764,0.00000722499,0.00000499303,0.00002250308,0.00007796384,0.00001096355],"domain_scores_gemma":[0.9999456,0.00001447656,0.00001018073,0.000006948129,0.00001922843,0.000003659815],"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":[0.00007513328,0.00004970195,0.0005038847,0.0008615392,0.00003339779,0.0002519219,0.00016029,0.004829222,0.6492839,0.04226696,0.01590511,0.2857789],"study_design_scores_gemma":[0.00003753231,0.0006588158,0.004530521,0.0003441684,0.0000739113,0.001117996,0.0001766497,0.05169291,0.348465,0.02313369,0.5696867,0.00008214517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1271636,0.1269721,0.5240537,0.007189127,0.004183327,0.0004107724,0.001118361,0.002748641,0.2061604],"genre_scores_gemma":[0.5353184,0.07369702,0.2464833,0.002037674,0.001304182,0.0004710444,0.0005823676,0.0002226535,0.1398834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006400457,"threshold_uncertainty_score":0.02141172,"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."}}