{"id":"W1967722793","doi":"10.1155/2010/816068","title":"A Novel Approach to a Piezoelectric Sensing Element","year":2010,"lang":"en","type":"article","venue":"Journal of Sensors","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Piezoelectricity; Materials science; Piezoelectric sensor; Voltage; Poling; SIGNAL (programming language); Finite element method; Acoustics; Electric field; PMUT; Hydrostatic pressure; Pressure sensor; Stress (linguistics); Piezoelectric coefficient; Hydrostatic equilibrium; Optoelectronics; Composite material; Structural engineering; Electrical engineering; Mechanical engineering; Engineering; Computer science; Mechanics; Ferroelectricity; Physics; Dielectric","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":[0.0002355889,0.0001312317,0.0002345158,0.0002013006,0.00003795142,0.00004065094,0.0001003185,0.000056744,0.00001124606],"category_scores_gemma":[0.0001260555,0.0001140549,0.00006511781,0.0002115317,0.00001195102,0.00009943599,0.00001152944,0.0002795986,0.00001088154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005027765,"about_ca_system_score_gemma":0.00001606208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005803041,"about_ca_topic_score_gemma":0.000002520141,"domain_scores_codex":[0.9990892,0.00001024844,0.00037773,0.00008224284,0.0001918792,0.0002487343],"domain_scores_gemma":[0.9994873,0.00003920057,0.00008921553,0.0001228079,0.00009916119,0.0001623273],"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":[0.00001090379,0.00001433884,0.000005529833,0.00001342585,0.00002306968,0.000007187758,0.0001481844,0.2738473,0.7213859,0.00009058377,0.0002825486,0.0041711],"study_design_scores_gemma":[0.002338013,0.0003999682,0.001521629,0.0001641449,0.0001422863,0.004943441,0.0004924148,0.1700126,0.7526433,0.0004543404,0.0656281,0.001259703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039751,0.00001232624,0.09149009,0.0000314692,0.0008296246,0.00004756553,0.000001744007,0.00006206954,0.003549966],"genre_scores_gemma":[0.8642237,0.000008081134,0.1350981,0.00004751633,0.0004999997,3.297959e-7,4.722545e-7,0.00003220053,0.00008961127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1038346,"threshold_uncertainty_score":0.4651025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399478178228212,"score_gpt":0.2229113755427893,"score_spread":0.2089165937605072,"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."}}