{"id":"W2132296400","doi":"10.1088/0964-1726/20/11/115019","title":"Analysis and modeling of a piezoelectric energy harvester stimulated by β-emitting radioisotopes","year":2011,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Advanced Energy Technologies and Civil Engineering Innovations","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Piezoelectricity; Energy harvesting; Energy (signal processing); Acoustics; Engineering; Mechanical engineering; Materials science; Electrical engineering; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002367535,0.0004311599,0.0007209022,0.0002270589,0.0004177297,0.0008381103,0.001040827,0.001305719,0.001856529],"category_scores_gemma":[0.0003240411,0.0004481287,0.0007107246,0.0002722631,0.0005035383,0.0008773366,0.0003479027,0.000451937,0.0006017791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825752,"about_ca_system_score_gemma":0.0008704587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004353318,"about_ca_topic_score_gemma":0.00219631,"domain_scores_codex":[0.9998651,0.00001531203,0.000005342902,0.00002960966,0.00006618384,0.0000184546],"domain_scores_gemma":[0.9999058,0.00004555477,0.00001652631,0.000008575331,0.00001804478,0.000005416796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006334896,0.00003318734,0.0004503831,0.0001190042,0.00003138011,0.0003315275,0.0000889621,0.9221178,0.06462323,0.005869067,0.0003821404,0.005890015],"study_design_scores_gemma":[0.000005519,0.00003348001,0.0001730614,0.000005166014,0.000008749486,0.00003604185,0.00001093463,0.9944019,0.004038686,0.0005114537,0.0007673994,0.000007593527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1918419,0.001107216,0.7694404,0.0008248699,0.00008313636,0.000215182,0.0005493462,0.001173201,0.03476496],"genre_scores_gemma":[0.9325392,0.001223826,0.03951524,0.0001272829,0.00002714335,0.0003772444,0.0002192931,0.000128099,0.0258426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004353318,"threshold_uncertainty_score":0.008655965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172543083057925,"score_gpt":0.2051521812091411,"score_spread":0.1934267503785618,"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."}}