{"id":"W4328007344","doi":"10.1109/jsen.2023.3257313","title":"A Battery-Less Non-Hybrid Six-Port RFID-Based Wireless Sensor Architecture for IoT Applications","year":2023,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chip; Wireless; Demodulation; Electrical engineering; Sensor node; Electronic engineering; Ultra high frequency; Node (physics); Radio-frequency identification; Engineering; Wireless sensor network; SIGNAL (programming language); Computer science; Port (circuit theory); Key distribution in wireless sensor networks; Telecommunications; Wireless network; Channel (broadcasting); Computer network","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":[0.0001471837,0.0003367086,0.0003016269,0.0003010351,0.0001879422,0.0005722637,0.001302079,0.0005451184,0.001519879],"category_scores_gemma":[0.0001923531,0.0002553142,0.0003035557,0.0004245805,0.0001747443,0.001470342,0.000556543,0.000432633,0.001154547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514213,"about_ca_system_score_gemma":0.0001199863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006551391,"about_ca_topic_score_gemma":0.0001768191,"domain_scores_codex":[0.9998072,0.00002438809,0.00001592868,0.0000511242,0.00008685207,0.0000145062],"domain_scores_gemma":[0.9998666,0.00001838348,0.00002538887,0.00002876354,0.00004670641,0.00001415967],"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":[0.0001462713,0.0001163496,0.0008893091,0.0004480122,0.00004545743,0.0003382616,0.00008066607,0.004658269,0.8728141,0.01197586,0.002044383,0.1064431],"study_design_scores_gemma":[0.00004041493,0.001368603,0.003210139,0.0000894644,0.0001290954,0.005127915,0.00008285712,0.1583314,0.7399707,0.00714365,0.08438107,0.0001247216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1088245,0.002387332,0.8681663,0.0003197405,0.0003722322,0.0001243999,0.0002135132,0.001497429,0.01809459],"genre_scores_gemma":[0.6096535,0.002294211,0.3649628,0.0005975033,0.0001528871,0.0001882604,0.0004484201,0.0001290448,0.02157349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001519879,"threshold_uncertainty_score":0.005084515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421582853375469,"score_gpt":0.235961569262911,"score_spread":0.2217457407291563,"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."}}