{"id":"W2677271683","doi":"10.1299/jsmemnm.2013.5.1","title":"5AM2-C-1 Development of Ferroelectric Dipole Electrets and its Application to Electrostatic Vibration Energy Harvester","year":2013,"lang":"en","type":"article","venue":"The Proceedings of the Symposium on Micro-Nano Science and Technology","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Electret; Materials science; Lead zirconate titanate; Ferroelectricity; Piezoelectricity; Capacitive sensing; Dipole; Energy harvesting; Composite material; Vibration; Optoelectronics; Electrical engineering; Acoustics; Power (physics); Dielectric; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303671,0.0001542294,0.0001605657,0.0005543347,0.0002358094,0.00005611232,0.0007005239,0.00009778311,6.897032e-7],"category_scores_gemma":[0.0001354558,0.0001007033,0.00001080778,0.00267,0.0004411821,0.0003163969,0.0002343619,0.0001451964,0.000002831033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008017937,"about_ca_system_score_gemma":0.0000528844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005640818,"about_ca_topic_score_gemma":0.000003059178,"domain_scores_codex":[0.9989562,0.000003229219,0.0002630226,0.0002576727,0.0001970468,0.0003228433],"domain_scores_gemma":[0.9992484,0.00002298729,0.0001330815,0.0001599914,0.0004122739,0.00002328624],"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":[0.000002758339,0.00001060692,0.0001712433,0.00002443529,0.00000729716,1.047376e-8,0.000161734,0.00001758672,0.9472803,0.04608285,0.0000655045,0.006175663],"study_design_scores_gemma":[0.00007441438,0.0001160943,0.00115781,0.00004326155,0.00000620049,0.00000979986,0.00009050222,0.00136064,0.9928399,0.003960311,0.0002284098,0.0001125949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952127,0.000113658,0.0005712524,0.003188169,0.00002683095,0.0003298015,6.405579e-7,0.0001843246,0.000372586],"genre_scores_gemma":[0.9977431,0.00003803255,0.001850792,0.00009125434,0.000005248277,0.0001381138,2.685857e-7,0.00001435521,0.000118782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04555965,"threshold_uncertainty_score":0.4106563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004307665220235196,"score_gpt":0.1888358384701315,"score_spread":0.1845281732498963,"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."}}