{"id":"W3166512104","doi":"10.3390/micromachines2021-09567","title":"In-Ear Energy Harvesting: Harvester Design and Validation (Part II)","year":2021,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Energy harvesting; Mechanical energy; Multiphysics; Energy transformation; Acoustics; Amplifier; Bistability; Transducer; Mechanical engineering; Ear canal; Energy (signal processing); Power (physics); Computer science; Engineering; Finite element method; Materials science; Electrical engineering; Physics; Structural engineering; Optoelectronics","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":[0.0001823756,0.0001453715,0.0001430187,0.0001452675,0.00005553546,0.0001009334,0.00008921442,0.0001076206,0.00005858361],"category_scores_gemma":[0.0002513054,0.0001506132,0.00001360016,0.0004945328,0.00004942532,0.0006478589,0.0001090074,0.0001301667,0.000005627247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004210864,"about_ca_system_score_gemma":0.00002096656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002664103,"about_ca_topic_score_gemma":0.00002935324,"domain_scores_codex":[0.999204,0.00004312093,0.0002251291,0.0002121681,0.00009042822,0.0002251845],"domain_scores_gemma":[0.9995761,0.00009788021,0.00002251091,0.0002104963,0.00006718841,0.00002580318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001015404,0.00009376816,0.00435974,0.0001091175,0.00009703328,0.0002778943,0.0002824961,0.1275056,0.1739894,0.6430267,0.02370004,0.02654801],"study_design_scores_gemma":[0.000297951,0.00003165517,0.002013199,0.00006187843,0.000005324949,0.00004114001,0.00005575892,0.01733288,0.9178169,0.005427766,0.05659335,0.0003222439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5587386,0.0003120177,0.4171692,0.0007530895,0.0005077572,0.00008984802,0.000001945187,0.00183325,0.02059429],"genre_scores_gemma":[0.8484123,0.00008372012,0.1292617,0.0002852224,0.00008114156,0.00004303284,0.00001487774,0.00005630229,0.02176166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7438274,"threshold_uncertainty_score":0.6141829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732349128223121,"score_gpt":0.2179321644589766,"score_spread":0.1906086731767454,"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."}}