{"id":"W3021694572","doi":"","title":"Enhanced models for power output prediction from resonant piezoelectric micro power generators","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bimorph; Piezoelectricity; Microelectromechanical systems; Energy harvesting; Power (physics); Finite element method; Vibration; Macro; Energy (signal processing); Mechanical energy; Electricity generation; Electrical engineering; Materials science; Acoustics; Electronic engineering; Engineering; Computer science; Physics; Optoelectronics; Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001714315,0.0005210041,0.0004714986,0.0004245643,0.0002477789,0.0002778657,0.001152813,0.0006711746,0.00002305053],"category_scores_gemma":[0.0008541627,0.0005822663,0.0002041153,0.0005764802,0.000154621,0.0001803827,0.0006390135,0.0008299128,0.00001065228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779367,"about_ca_system_score_gemma":0.0001519227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004943901,"about_ca_topic_score_gemma":0.0002663175,"domain_scores_codex":[0.9968681,0.0006960565,0.0007186332,0.0008512986,0.0003364063,0.0005294668],"domain_scores_gemma":[0.9951533,0.0007065394,0.0003362657,0.00188056,0.001847995,0.00007532848],"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":[0.00009261492,0.001303982,0.001134232,0.000609354,0.001229382,0.00001502513,0.0113708,0.175008,0.2922453,0.2071093,0.06720708,0.242675],"study_design_scores_gemma":[0.0005959048,0.000001142552,0.001315397,0.001009186,0.00005067968,0.000001919906,0.0000383414,0.3684584,0.5999863,0.02026768,0.007463798,0.0008112663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614466,0.001323676,0.7218141,0.0004105328,0.0005537335,0.0004681015,0.0004327738,0.001715522,0.01183497],"genre_scores_gemma":[0.8320982,0.0001563947,0.1640017,0.00002851499,0.00003862116,0.0002924869,0.001280156,0.0001299011,0.001974015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5706517,"threshold_uncertainty_score":0.9996629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127947266617887,"score_gpt":0.2019748912218061,"score_spread":0.1891801645600174,"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."}}