{"id":"W4398167682","doi":"10.23977/jeis.2024.090206","title":"Ultra-high Frequency RFID Tag Based on Functional Nanomaterials and Its Application in Smart Library","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanomaterials; Computer science; Internet of Things; Computer architecture; Embedded system; Nanotechnology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000332364,0.00005553469,0.00006862313,0.0004511338,0.00004303667,0.0001017175,0.0000839228,0.00003509372,0.0000111621],"category_scores_gemma":[0.00003046864,0.00004758223,0.000008360586,0.0004273057,0.00003483137,0.004674579,0.000006866917,0.0001289027,0.000004891604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008532741,"about_ca_system_score_gemma":0.0001140087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.238329e-7,"about_ca_topic_score_gemma":2.683051e-7,"domain_scores_codex":[0.9993855,0.00000414118,0.0002693043,0.00005058035,0.0001686578,0.0001218243],"domain_scores_gemma":[0.9998018,0.0000234754,0.00005947081,0.0000468918,0.00003718923,0.00003116566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005247221,0.0000281355,0.00240233,0.0002186021,0.00001634576,0.000004112276,0.0002205082,0.04176499,0.5723826,0.3417228,0.0002283888,0.04095873],"study_design_scores_gemma":[0.001125996,0.0005899085,0.0329388,0.0002428035,0.00001338082,0.0001761429,0.00005148164,0.5490083,0.369577,0.01100297,0.0349213,0.0003519724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902902,0.0009863245,0.007224196,0.0003172835,0.0002656268,0.00008916631,0.000004462879,0.00004457538,0.0007782161],"genre_scores_gemma":[0.9985006,0.000907907,0.0004633495,0.0000983236,0.00001582106,0.000005024488,0.000003115681,0.000003104638,0.000002714582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5072433,"threshold_uncertainty_score":0.3388957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00372882843149018,"score_gpt":0.1986813587459207,"score_spread":0.1949525303144305,"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."}}