{"id":"W4321383475","doi":"10.1109/cistem55808.2022.10043879","title":"Energy management circuit from internal biomechanical energy harvester to power a pacemaker","year":2022,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Energy harvesting; Mechanical energy; Energy (signal processing); Power (physics); Electrical engineering; Voltage; Electric power; Computer science; Engineering; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402948,0.0002992084,0.0003464952,0.0003879755,0.0004028649,0.0006559714,0.0008142864,0.0005593325,0.008546136],"category_scores_gemma":[0.000231939,0.000134358,0.0002164627,0.0002239032,0.0002158827,0.0005409015,0.0003472515,0.0003162822,0.001356986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077745,"about_ca_system_score_gemma":0.0001758991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001250667,"about_ca_topic_score_gemma":0.0001720155,"domain_scores_codex":[0.9998139,0.00001943161,0.00001693964,0.00005864824,0.00006541511,0.00002567602],"domain_scores_gemma":[0.9998699,0.00003317185,0.00002159954,0.00001791892,0.00004384359,0.00001353237],"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":[0.0003257638,0.0001446073,0.001260606,0.0006088769,0.00005273947,0.0007296687,0.0003647543,0.002055102,0.8163732,0.004719689,0.00876799,0.1645971],"study_design_scores_gemma":[0.0001836957,0.001933759,0.005994142,0.0002419274,0.0001750467,0.003143968,0.0002459029,0.07144398,0.8277382,0.003792264,0.08499939,0.0001077038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3120434,0.002929668,0.6142639,0.002400151,0.001716793,0.0007246557,0.0008150748,0.0116598,0.05344658],"genre_scores_gemma":[0.940708,0.0005765832,0.03638858,0.0008385969,0.0002761316,0.0001839417,0.0001828841,0.0001336253,0.02071178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008546136,"threshold_uncertainty_score":0.02858973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321455108504794,"score_gpt":0.2014496910424486,"score_spread":0.1882351399574007,"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."}}