{"id":"W2024574802","doi":"10.1109/mwscas.2013.6674602","title":"Fully-integrated passive threshold-compensated PMOS rectifier for RF energy harvesting","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"PMOS logic; Rectifier (neural networks); CMOS; Electrical engineering; Energy conversion efficiency; Radio frequency; Voltage; Energy harvesting; Transistor; Rectenna; Electronic engineering; Power (physics); Computer science; Engineering; Physics; Rectification","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"],"consensus_categories":[],"category_scores_codex":[0.0001200676,0.000390402,0.0003613232,0.0001214504,0.0001547174,0.000219383,0.000317897,0.0002697548,0.0006037459],"category_scores_gemma":[0.0001470528,0.0003515393,0.0001161703,0.0004111343,0.00005975928,0.0003772922,0.00004655775,0.0002874648,0.00009450481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203073,"about_ca_system_score_gemma":0.00003151756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009304425,"about_ca_topic_score_gemma":0.0005655871,"domain_scores_codex":[0.9982135,0.00002830903,0.0004782678,0.0003982432,0.0001745259,0.0007071873],"domain_scores_gemma":[0.9986767,0.000327918,0.00007515278,0.0004224029,0.0002991059,0.0001987767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001915235,0.00005546176,0.0006641481,0.0001011675,0.0003041376,0.00001530763,0.0001172719,0.7220806,0.05554961,0.01852429,0.1125275,0.09004131],"study_design_scores_gemma":[0.0005504515,0.00005711374,0.0005128296,0.0001530669,0.00002651724,0.00001812333,0.00008447516,0.9255961,0.03979345,0.001378116,0.03117204,0.0006577322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3536681,0.0004701252,0.4803149,0.00052618,0.003694882,0.001180254,0.00002530176,0.008056054,0.1520643],"genre_scores_gemma":[0.9670187,0.00002705117,0.01903808,0.0002593735,0.00042173,0.0005617869,0.0001205263,0.0001816595,0.01237105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6133507,"threshold_uncertainty_score":0.9998937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038800816787528,"score_gpt":0.1933942622255653,"score_spread":0.18300625405769,"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."}}