{"id":"W4413424199","doi":"10.1109/access.2025.3599112","title":"Planar Microwave Sensors: State of the Art and Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"European Social Fund; Agencia Estatal de Investigación; Agència de Gestió d'Ajuts Universitaris i de Recerca; University of Tabriz; University of British Columbia; European Commission; University of Tokyo; Institució Catalana de Recerca i Estudis Avançats; Centre National de la Recherche Scientifique; European Regional Development Fund; University of Alberta","keywords":"Planar; Computer science; Microwave; State (computer science); Optoelectronics; Materials science; Telecommunications; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006254271,0.0000590864,0.00007557619,0.00005228857,0.00002827059,0.00002238222,0.0001651251,0.00002306781,0.000003175276],"category_scores_gemma":[0.000004218563,0.0000460703,0.00001966691,0.0001991304,0.00002166215,0.0000473282,0.00001506972,0.00006264535,0.000002620302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000125717,"about_ca_system_score_gemma":0.00001064466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008531105,"about_ca_topic_score_gemma":0.00002277834,"domain_scores_codex":[0.9996678,0.000009149811,0.0001149123,0.00007262982,0.00005171916,0.00008378357],"domain_scores_gemma":[0.9997426,0.00002216281,0.00001902659,0.0001763176,0.00002700027,0.00001288341],"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":[0.000004681037,0.00001890609,0.002107162,0.0002166777,0.00006423258,4.706209e-7,0.00005622422,0.0002310577,0.8838454,0.0008958132,0.08793221,0.02462712],"study_design_scores_gemma":[0.00006809368,0.000002803947,0.001400018,0.00003013097,0.0000130609,8.811808e-7,0.000002276695,0.0001834788,0.9698298,0.004544065,0.02387,0.00005537292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4343188,0.002218081,0.4238651,0.0002929738,0.0002954971,0.001336569,0.00004050414,0.0005071407,0.1371253],"genre_scores_gemma":[0.9990634,0.0001847383,0.0001558892,0.0001016597,0.00001552237,0.00003624893,0.000001272068,0.000006248068,0.0004349732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647447,"threshold_uncertainty_score":0.1878692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486808352194497,"score_gpt":0.2503170415648677,"score_spread":0.2354489580429227,"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."}}