{"id":"W1716099252","doi":"10.12928/telkomnika.v9i1.679","title":"Hybrid De-embedding Technique for Microwave Absorber Characterization","year":2011,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Teknologi Bandung; Queen's University; Queen's University Belfast; Health Resources in Action","keywords":"Test fixture; Microwave; Fixture; Scattering parameters; Embedding; Characterization (materials science); Experimental data; Computer science; Process (computing); Test data; Ideal (ethics); Algorithm; Electronic engineering; Optics; Mechanical engineering; Mathematics; Physics; Engineering; Artificial intelligence; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003751738,0.0001887846,0.0002435385,0.00009748796,0.0001884607,0.00003281447,0.0003060808,0.00009763532,0.000003302686],"category_scores_gemma":[0.00004429894,0.0002015559,0.00006029524,0.00009495408,0.00004914371,0.0001157676,0.00005240318,0.0002745923,0.000002055053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009371514,"about_ca_system_score_gemma":0.00002545505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003479838,"about_ca_topic_score_gemma":0.00000374981,"domain_scores_codex":[0.9990107,0.00003412999,0.000284586,0.0001836014,0.00005189844,0.0004350912],"domain_scores_gemma":[0.9992755,0.0001067707,0.0001032808,0.0003877712,0.00008203227,0.00004463411],"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":[0.00002381013,0.0000276464,0.00009330926,0.00003896323,0.00005989703,4.722124e-7,0.000184422,0.0004412926,0.9075378,0.006600412,0.00002644982,0.08496555],"study_design_scores_gemma":[0.001253461,0.0001893548,0.00109417,0.00007811966,0.00007426884,0.00006701355,0.00007582796,0.3957812,0.5713044,0.01586891,0.01361027,0.0006030526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1637962,0.001917501,0.8327586,0.00007281595,0.00004449159,0.0004674848,0.000007605461,0.0006663583,0.0002689368],"genre_scores_gemma":[0.9378073,0.00145989,0.06041227,0.000093676,0.00002506775,0.00009725321,0.00003839802,0.00004698567,0.00001921518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7740111,"threshold_uncertainty_score":0.8219213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297133180877277,"score_gpt":0.2333409372028099,"score_spread":0.2203696053940371,"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."}}