{"id":"W1965946079","doi":"10.1115/detc2010-28757","title":"Energy Harvesting Using Piezoceramics","year":2010,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Energy harvesting; Microsystem; Electronics; USable; Microelectromechanical systems; Automotive industry; Electric potential energy; Electrical engineering; Energy (signal processing); Computer science; Wireless sensor network; Automotive engineering; Engineering; Materials science; Aerospace engineering; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.00008935737,0.0001334448,0.0001001356,0.0001303673,0.00006607765,0.00004879538,0.000198293,0.000127296,0.00004833397],"category_scores_gemma":[0.0001253711,0.0001316396,0.00002082733,0.0003642915,0.00007147506,0.0001716077,0.00006204491,0.0002946462,0.000008156552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002643679,"about_ca_system_score_gemma":0.00001261265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001199523,"about_ca_topic_score_gemma":0.0001082399,"domain_scores_codex":[0.9993861,0.000003987768,0.0001579149,0.0001235404,0.00007944793,0.000248961],"domain_scores_gemma":[0.9996079,0.00004130614,0.0000210455,0.0002477185,0.00005657633,0.00002552188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.555199e-7,0.00000631995,0.001148856,0.00001028478,0.00001743276,0.000007297372,0.00001376016,0.0169425,0.5382657,0.400447,0.00028736,0.042853],"study_design_scores_gemma":[0.00009733934,0.000006999441,0.0006525809,0.00001192536,0.000004185492,0.00003853514,0.00002722985,0.7110244,0.2688066,0.006009043,0.01299883,0.0003222964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466164,0.00001187221,0.1853153,0.00001745791,0.0006868236,0.00001711172,0.000001063779,0.003313583,0.06402044],"genre_scores_gemma":[0.8513044,0.000001739466,0.1480298,0.00004258006,0.0000966029,0.000003007193,0.000002090555,0.00003710889,0.000482744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6940819,"threshold_uncertainty_score":0.5368107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416314610709051,"score_gpt":0.2138604280180949,"score_spread":0.1996972819110043,"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."}}