{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001154649,0.0002506732,0.0002094572,0.0004154079,0.00009521568,0.00009810834,0.0004590802,0.00006886491,0.001536557],"category_scores_gemma":[0.00001277303,0.0002562871,0.00006609081,0.0007343628,0.00002744733,0.0001584548,0.001031965,0.0001975644,0.00003706215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680584,"about_ca_system_score_gemma":0.000006800306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003112615,"about_ca_topic_score_gemma":0.00006583614,"domain_scores_codex":[0.9985249,0.00003835038,0.0003062458,0.0003912738,0.0003279617,0.0004112908],"domain_scores_gemma":[0.9993072,0.00004085106,0.00003160453,0.0005199369,0.00002955639,0.00007086089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002039271,0.00007335246,0.00007252648,0.00000647448,0.0003197116,0.0003117535,0.00009338873,0.004664502,0.02708018,0.8992091,0.04611882,0.02202977],"study_design_scores_gemma":[0.0005661483,0.0002362239,0.0006541762,0.00003183022,0.00001931045,0.00003759881,0.0004157213,0.005831996,0.07977147,0.0211147,0.8904845,0.0008363336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06345271,0.00007112863,0.8771461,0.0004030314,0.001393436,0.00008059831,0.00004713034,0.002637069,0.0547688],"genre_scores_gemma":[0.9775388,0.000005506793,0.006413336,0.001574513,0.00005017053,0.0002640236,0.00002864586,0.00007405875,0.01405094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9140861,"threshold_uncertainty_score":0.9999889,"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."}}