{"id":"W4410153212","doi":"10.1109/tmtt.2025.3559448","title":"A Self-Powered Microwave Sensor Using Perfect Metamaterial Absorbers for Liquid Characterization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Metamaterial; Microwave; Materials science; Characterization (materials science); Optoelectronics; Electronic engineering; Electrical engineering; Engineering; Telecommunications; Nanotechnology","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":[0.0006932901,0.0003738166,0.000376036,0.0004670914,0.0002522316,0.00009072705,0.0001378868,0.0002721356,0.00003195807],"category_scores_gemma":[0.000008417265,0.0003832919,0.0001733168,0.0002704395,0.00006821851,0.0001814039,0.000002608979,0.0002235732,0.00000274472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446229,"about_ca_system_score_gemma":0.00004234501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003671305,"about_ca_topic_score_gemma":0.000003353834,"domain_scores_codex":[0.998627,0.0001512918,0.0004005528,0.0003655955,0.00009233534,0.0003632401],"domain_scores_gemma":[0.9993522,0.0001339631,0.0000629417,0.0002847178,0.0001026164,0.00006359563],"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":[0.0006260804,0.0000811041,4.375228e-7,0.0002828766,0.0002141009,0.000001695879,0.0001769764,0.000007284102,0.9852212,0.001221289,0.00008498153,0.01208199],"study_design_scores_gemma":[0.000371713,0.0002588587,7.249801e-7,0.000151089,0.0002501992,0.00001972949,0.0000290538,0.000258899,0.9929449,0.001760813,0.003590636,0.0003634156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2556014,0.0001540919,0.7404518,0.00001736484,0.0002707551,0.0009462468,0.00006671026,0.001462141,0.001029556],"genre_scores_gemma":[0.9709937,0.0007592423,0.02738956,0.0002218532,0.0000629581,0.0002367607,0.00002451401,0.00007412279,0.0002373187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7153923,"threshold_uncertainty_score":0.9998619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155538126702702,"score_gpt":0.2374388863021463,"score_spread":0.2258835050351193,"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."}}