{"id":"W2061208998","doi":"10.1109/icecs.2014.7049951","title":"High-efficiency CMOS rectifier dedicated for multi-band ambient RF energy harvesting","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs; CMC Microsystems","keywords":"Rectifier (neural networks); Energy harvesting; Precision rectifier; Electrical engineering; CMOS; Voltage; Electronic engineering; Transistor; Radio frequency; Energy conversion efficiency; Peak inverse voltage; Power (physics); Engineering; Topology (electrical circuits); Power factor; Computer science; Voltage optimisation; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000172264,0.0002150353,0.0003500387,0.0001092881,0.0001453616,0.0004104725,0.0006124253,0.0004572218,0.001509094],"category_scores_gemma":[0.0002017998,0.000153821,0.0003616809,0.000288288,0.0001362726,0.0006893543,0.0002035381,0.0003014579,0.000784995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732479,"about_ca_system_score_gemma":0.0002135414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001795804,"about_ca_topic_score_gemma":0.0003535245,"domain_scores_codex":[0.9998357,0.00001504606,0.00001193295,0.00005642647,0.00005593426,0.00002496399],"domain_scores_gemma":[0.9998792,0.00002270782,0.00002817772,0.00001879104,0.00004421346,0.00000688311],"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":[0.00007156037,0.00003014257,0.0003682006,0.0002291881,0.00002804561,0.0001056077,0.00004789427,0.001971049,0.9700836,0.003310148,0.0008656746,0.02288875],"study_design_scores_gemma":[0.00004957648,0.0005015739,0.001901095,0.00003499967,0.00007185173,0.001262534,0.00004111434,0.04068446,0.9291942,0.001431995,0.02478811,0.00003838229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3547211,0.003951483,0.6061031,0.0004000837,0.0003951549,0.0001830363,0.0006054147,0.001647795,0.03199284],"genre_scores_gemma":[0.9320412,0.0009452683,0.06082063,0.0001695112,0.00006966951,0.00005595423,0.0002631597,0.00006621853,0.005568439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001509094,"threshold_uncertainty_score":0.005048454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806420996951905,"score_gpt":0.2203100608337836,"score_spread":0.2022458508642645,"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."}}