{"id":"W3024166936","doi":"10.1109/temc.2020.2989227","title":"A Method to Determine Dielectric Model Parameters for Broadband Permittivity Characterization of Thin Film Substrates","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Guangdong Science and Technology Department","keywords":"Permittivity; Microstrip; Materials science; Dielectric; Computation; Scattering parameters; Relative permittivity; Debye; Polyimide; Propagation constant; Electronic engineering; Broadband; Computational physics; Computer science; Algorithm; Optics; Optoelectronics; Physics; Engineering; Layer (electronics); Composite material; Condensed matter physics","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":[0.0002677933,0.0002701302,0.0004320387,0.0001518547,0.00007470023,0.00002399389,0.0001845423,0.000100474,0.00003697368],"category_scores_gemma":[0.00002040088,0.0002847499,0.0001685435,0.00058658,0.00002211133,0.00009539192,0.000001017739,0.0002252989,0.000002612253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008435078,"about_ca_system_score_gemma":0.00005512392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002316253,"about_ca_topic_score_gemma":0.00003480168,"domain_scores_codex":[0.9984486,0.00008611045,0.0004867748,0.0004074103,0.0002067278,0.0003644238],"domain_scores_gemma":[0.999177,0.000192866,0.00006487245,0.0002807205,0.0001230594,0.0001614801],"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":[0.0001879698,0.0001450465,0.00001214266,0.0001632091,0.00003673187,2.566953e-7,0.0002965926,0.05785505,0.9090267,0.000007201003,0.00005626051,0.03221288],"study_design_scores_gemma":[0.0002090205,0.0009129498,0.000226155,0.000008821441,0.0000420921,8.810259e-7,0.000001952591,0.4858583,0.5124898,0.0001022221,0.00000836209,0.000139479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4742089,0.00001497701,0.5247091,0.00005891359,0.00001904694,0.0006828321,0.00005274398,0.0001988879,0.00005464835],"genre_scores_gemma":[0.9608019,0.00002242671,0.03874149,0.0001607016,0.00001279472,0.000193514,0.000014071,0.00003429703,0.00001880631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.486593,"threshold_uncertainty_score":0.9999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935938857490274,"score_gpt":0.255005877073249,"score_spread":0.2156464884983463,"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."}}