{"id":"W4389903476","doi":"10.1016/j.prime.2023.100402","title":"A compact meander flexible UHF tag for industrial applications","year":2023,"lang":"en","type":"article","venue":"e-Prime - Advances in Electrical Engineering Electronics and Energy","topic":"RFID technology advancements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Ultra high frequency; Electrical engineering; Radio-frequency identification; Acoustics; Materials science; Computer science; Electronic engineering; Engineering; Physics","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":[0.0001286709,0.0002557506,0.0003081873,0.0004436608,0.00006894251,0.00002219647,0.0002184631,0.0002100887,0.000005373739],"category_scores_gemma":[0.00005746405,0.0002840779,0.00005194849,0.001422496,0.00002630297,0.0001978857,0.00002866926,0.0004002697,0.000005651149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501697,"about_ca_system_score_gemma":0.00003483717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004157992,"about_ca_topic_score_gemma":0.000007399361,"domain_scores_codex":[0.9983864,0.000007112156,0.0002950603,0.000325775,0.0001353946,0.0008502665],"domain_scores_gemma":[0.9994774,0.0001553227,0.00003113573,0.0002242364,0.00002214246,0.0000897708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003037905,0.00004188404,0.00007741019,0.00004185997,0.00006856179,0.000002871287,0.00001131688,0.7677568,0.01240817,0.0990523,0.0007400818,0.1197683],"study_design_scores_gemma":[0.000848773,0.0001231668,0.00005119668,0.00001596651,0.00001168542,0.000005906566,0.000002376571,0.4278458,0.01820188,0.005966714,0.5465887,0.0003378071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01963514,0.06309169,0.9073923,0.0002978465,0.0007028411,0.0008220579,0.00003167086,0.004943062,0.003083354],"genre_scores_gemma":[0.9759778,0.01923322,0.002553307,0.00003745714,0.000287936,0.000912467,0.0001027368,0.000164586,0.000730532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563426,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009800594190650639,"score_gpt":0.2397000915348072,"score_spread":0.2298994973441566,"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."}}