{"id":"W4400314846","doi":"10.1109/jrfid.2024.3423711","title":"Temperature-Stable Low-Power RF-to-DC Dickson Charge Pump Rectifiers for Battery-Free Sensing and IoT Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Radio Frequency Identification","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"Battery (electricity); Charge pump; Electrical engineering; Internet of Things; Power (physics); Charge (physics); Ultra low power; Computer science; Materials science; Engineering; Embedded system; Voltage; Physics; Power consumption; Capacitor","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":[0.000270301,0.0002769088,0.0002221987,0.0002125953,0.0002388323,0.0005502997,0.0004771044,0.0003725682,0.003094947],"category_scores_gemma":[0.0004469653,0.0001781947,0.0002416073,0.0003007413,0.0001884415,0.0009476263,0.000229707,0.0003828348,0.00159611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004513726,"about_ca_system_score_gemma":0.000239437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826355,"about_ca_topic_score_gemma":0.0006660821,"domain_scores_codex":[0.9998502,0.00002737857,0.0000101336,0.00003992328,0.00005725951,0.00001520407],"domain_scores_gemma":[0.9998473,0.00003992359,0.00003383231,0.00002095927,0.00005044342,0.000007508571],"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":[0.0000986739,0.00002646468,0.0003184874,0.0001368358,0.000008757574,0.00005795542,0.00006593617,0.001260045,0.9555071,0.006205701,0.001209821,0.03510422],"study_design_scores_gemma":[0.00003287531,0.000287978,0.001444654,0.00002395832,0.00002818066,0.000305686,0.00004693881,0.03946377,0.9269872,0.001926935,0.02942413,0.00002777044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3754113,0.003906885,0.5884914,0.001017045,0.0004194834,0.0002489193,0.0003592045,0.002116862,0.02802894],"genre_scores_gemma":[0.8979057,0.0009816641,0.09092768,0.0001414687,0.00007722998,0.00007197308,0.0001705392,0.000173991,0.009549654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003094947,"threshold_uncertainty_score":0.01035362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006866585000306862,"score_gpt":0.2275804141988068,"score_spread":0.2207138291984999,"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."}}