{"id":"W3041963335","doi":"10.1109/incap47789.2019.9134656","title":"Complex Permittivity Measurement Based on Transmitted Power","year":2019,"lang":"en","type":"article","venue":"2019 IEEE Indian Conference on Antennas and Propogation (InCAP)","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Permittivity; Lossy compression; Dielectric; Computer science; Electronic engineering; Power (physics); Dielectric loss; Relative permittivity; Dielectric permittivity; Materials science; Optoelectronics; Engineering; Physics; Artificial intelligence","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":[0.0004656184,0.0002784729,0.0002695845,0.0002210596,0.00008879464,0.0000978168,0.0001410387,0.0001435393,0.0006921813],"category_scores_gemma":[0.00001724388,0.0002463511,0.00006870257,0.0001567135,0.00004271843,0.000110349,0.000004939905,0.0002677997,0.0002837974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009887019,"about_ca_system_score_gemma":0.00008668454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002329027,"about_ca_topic_score_gemma":0.0000265435,"domain_scores_codex":[0.9985023,0.00007861805,0.0002635731,0.0003350906,0.0005020151,0.0003184774],"domain_scores_gemma":[0.9992813,0.00002963936,0.00006126482,0.0003058252,0.0001975865,0.0001243224],"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":[0.0003148378,0.0003985711,0.003577797,0.000455873,0.0001185861,0.00002225542,0.00108628,0.0002296369,0.9282678,0.004231513,0.02287498,0.03842189],"study_design_scores_gemma":[0.006982991,0.004338497,0.06371566,0.002030636,0.00009689427,0.00002151301,0.0003845676,0.4249744,0.4616468,0.001587783,0.03104709,0.003173244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956521,0.0001569145,0.01993248,0.001371845,0.0007129147,0.002408058,0.0000796907,0.001219252,0.0784667],"genre_scores_gemma":[0.9988092,0.0000755908,0.0002019459,0.0006071527,0.0000309124,0.00002513348,0.00002657433,0.00003045204,0.0001930325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.466621,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622549132468735,"score_gpt":0.230416629740408,"score_spread":0.1941911384157206,"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."}}