{"id":"W3115105795","doi":"10.1109/tbcas.2020.3046035","title":"16.8 nW Ultra-Low-Power Energy Harvester IC for Tiny Ingestible Sensors Sustained by Bio-Galvanic Energy Source","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Calgary Arts Development; IC Design Education Center; National Research Foundation of Korea","keywords":"Maximum power point tracking; Controller (irrigation); Electrical engineering; Computer science; CMOS; Maximum power principle; Energy harvesting; Power (physics); Comparator; Voltage; Electronic engineering; Materials science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001412546,0.0003012234,0.0002842395,0.0002177864,0.0001289874,0.0004265391,0.001066366,0.0005194279,0.003085351],"category_scores_gemma":[0.0002704699,0.0001427432,0.0001631996,0.0002231213,0.0002152181,0.0006633761,0.0002977866,0.0003986495,0.0009456163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510506,"about_ca_system_score_gemma":0.000237546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670833,"about_ca_topic_score_gemma":0.0004759677,"domain_scores_codex":[0.9998872,0.000006181496,0.000007055815,0.00002922837,0.00005617841,0.0000142291],"domain_scores_gemma":[0.9998767,0.00002815192,0.00003297466,0.00001521724,0.0000345614,0.00001234225],"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":[0.00007715581,0.00003860792,0.0002020475,0.000177506,0.00001526404,0.0001312322,0.00006457845,0.001121426,0.9598151,0.002121329,0.001539535,0.03469633],"study_design_scores_gemma":[0.00005105148,0.0006943567,0.001295383,0.00003040308,0.00005804282,0.0008162634,0.0000348739,0.02777708,0.9202687,0.0008016072,0.04814284,0.00002946661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4708514,0.005039796,0.4743411,0.001554783,0.001049004,0.0003405559,0.0006106994,0.004375572,0.04183708],"genre_scores_gemma":[0.7698552,0.001084178,0.20277,0.0004643798,0.0001670228,0.0002283517,0.0002538965,0.0001954023,0.02498146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003085351,"threshold_uncertainty_score":0.0103215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483735757233395,"score_gpt":0.2065274475122059,"score_spread":0.1916900899398719,"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."}}