{"id":"W2568944346","doi":"10.1109/jmmct.2017.2647818","title":"A Novel Multiphysics Optimization-Driven Methodology for the Design of Microwave Ablation Antennas","year":2016,"lang":"en","type":"article","venue":"IEEE journal on multiscale and multiphysics computational techniques","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiphysics; Microwave; Microwave ablation; Ablation; Electronic engineering; Computer science; Engineering; Materials science; Aerospace engineering; Finite element method; Telecommunications; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003587819,0.0002004577,0.000300697,0.0001377718,0.0001671126,0.00003457312,0.0001545963,0.00009019997,0.000002529111],"category_scores_gemma":[0.00006916154,0.0001233456,0.000163116,0.0001399316,0.000132539,0.0002038671,0.00001347751,0.0001431734,0.000001059268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004471309,"about_ca_system_score_gemma":0.00002577594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003667634,"about_ca_topic_score_gemma":7.654513e-7,"domain_scores_codex":[0.9989644,0.00008435571,0.0004090637,0.0001686499,0.0001876891,0.0001858271],"domain_scores_gemma":[0.9968966,0.00234516,0.0002087377,0.0001124364,0.0003756746,0.00006143295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005402114,0.00005690613,0.00002995678,0.0000138035,0.0001483537,6.82072e-7,0.0001119544,0.5170743,0.4371893,0.0005132667,0.0001025763,0.04470489],"study_design_scores_gemma":[0.0007231975,0.000120626,0.000161616,0.0001165649,0.000072582,0.00002008564,0.00003498528,0.9599626,0.03577964,0.002789813,0.00004637655,0.0001718893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001409238,0.00007472681,0.9976705,0.0002026567,0.0001205689,0.0003753726,0.00004837428,0.00009154912,0.000007051566],"genre_scores_gemma":[0.4453212,0.0003222658,0.5540583,0.00005535215,0.0001651002,0.00002795024,0.000005040546,0.00002645029,0.0000183672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4439119,"threshold_uncertainty_score":0.5029886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06196674691163369,"score_gpt":0.2909615213489446,"score_spread":0.2289947744373109,"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."}}