{"id":"W4403183153","doi":"10.1109/irmmw-thz60956.2024.10697892","title":"An On-chip Terahertz Glucose Sensor","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Terahertz radiation; Chip; Optoelectronics; Computer science; Materials science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843111,0.0004164518,0.0004610522,0.0002224295,0.0001364319,0.0005369434,0.0009551534,0.000736748,0.001473073],"category_scores_gemma":[0.0001966857,0.0002243815,0.000304476,0.000258896,0.0001227568,0.0004417818,0.0004179956,0.000515824,0.0008986926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247791,"about_ca_system_score_gemma":0.0002019108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004609557,"about_ca_topic_score_gemma":0.0007135212,"domain_scores_codex":[0.9996383,0.00005034498,0.00001275686,0.0001086206,0.000146469,0.00004349282],"domain_scores_gemma":[0.9998937,0.00001969613,0.00001891344,0.00001410764,0.00003591041,0.00001763692],"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":[0.0001023365,0.00005615565,0.0003065838,0.0001000755,0.00002264885,0.0001062556,0.00002048688,0.0002124574,0.987463,0.0002540557,0.0008877568,0.01046823],"study_design_scores_gemma":[0.00001522261,0.0002048817,0.0009350936,0.000004583283,0.0000312431,0.0002166687,0.00003413722,0.005308324,0.9853885,0.00004980967,0.0077938,0.00001766488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432047,0.004367639,0.1322085,0.001183206,0.001200501,0.0002477125,0.001792269,0.002343044,0.0134523],"genre_scores_gemma":[0.8161115,0.003744024,0.15142,0.0009979224,0.0001844945,0.0002644751,0.001706406,0.0001551837,0.02541605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001473073,"threshold_uncertainty_score":0.004927933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078054437466628,"score_gpt":0.3044463630395397,"score_spread":0.2936658186648734,"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."}}