{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240027,0.000474535,0.0004921028,0.0003122358,0.0002411751,0.0005678377,0.0007974557,0.0006792643,0.002916737],"category_scores_gemma":[0.0008161709,0.0001978668,0.0003881989,0.0002603398,0.0003213324,0.0005793325,0.0004222284,0.0003258065,0.001056065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883448,"about_ca_system_score_gemma":0.0003244195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002462998,"about_ca_topic_score_gemma":0.0002067163,"domain_scores_codex":[0.99961,0.00006398723,0.00002585969,0.00008795383,0.0001740777,0.0000381586],"domain_scores_gemma":[0.999611,0.00008006951,0.00005675591,0.00009394451,0.0001421872,0.00001613088],"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":[0.0001985921,0.0003738986,0.001362099,0.0008529209,0.00006103604,0.0001715249,0.0002025322,0.01434606,0.9366974,0.001096837,0.00101031,0.04362682],"study_design_scores_gemma":[0.00003792621,0.001693242,0.00386175,0.0000423902,0.00005366499,0.0001951843,0.00006537544,0.03645712,0.9452444,0.0004231491,0.01189239,0.00003335992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171675,0.001887848,0.270858,0.0002436528,0.0001864402,0.0008984954,0.001322346,0.0009350656,0.006500563],"genre_scores_gemma":[0.8968266,0.001346618,0.08666202,0.0001137636,0.00003777838,0.0008360007,0.0009697399,0.000138427,0.01306912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002916737,"threshold_uncertainty_score":0.0097574,"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."}}