{"id":"W4388203051","doi":"10.18280/mmep.100537","title":"Synthesis of Power Line Notch Filter in Wearable Biomedical Devices for Wireless Body Area Network","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Body area network; Wearable computer; Line (geometry); Band-stop filter; Wireless; Computer science; Power (physics); Filter (signal processing); Electrical engineering; Embedded system; Telecommunications; Engineering; Physics; Low-pass filter; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002792402,0.0003813837,0.0002877108,0.0002787024,0.0002677875,0.0004872249,0.0004896844,0.0005875175,0.002464535],"category_scores_gemma":[0.0004335848,0.0001393737,0.0003564622,0.0002172364,0.0001531121,0.0003803507,0.0001281165,0.0002298056,0.0007248862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004980267,"about_ca_system_score_gemma":0.0004183588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108953,"about_ca_topic_score_gemma":0.001346714,"domain_scores_codex":[0.9998094,0.00002911321,0.00001017393,0.00004278144,0.00008899155,0.00001954553],"domain_scores_gemma":[0.9998146,0.00004775125,0.00003515977,0.00001382463,0.00008044207,0.000008305855],"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":[0.0004152171,0.0001374578,0.001432526,0.0007343889,0.0001271406,0.0006004237,0.000386698,0.05730974,0.7366825,0.01428901,0.002881721,0.1850032],"study_design_scores_gemma":[0.0001032961,0.00143742,0.001922361,0.0001272994,0.0001616892,0.0008711475,0.0001073347,0.5184583,0.4213824,0.002431961,0.0529421,0.00005472617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06512713,0.0008018507,0.9226004,0.0001536124,0.0001109545,0.0001434774,0.0001090898,0.0007969982,0.01015638],"genre_scores_gemma":[0.6805236,0.0009006839,0.308163,0.0001410385,0.00006290394,0.0001934446,0.0002347997,0.00006729583,0.009713171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002464535,"threshold_uncertainty_score":0.008244693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043682638936629,"score_gpt":0.2106209891865551,"score_spread":0.1901841627971889,"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."}}