{"id":"W2762589317","doi":"10.1115/1.4038129","title":"Design of a Novel Electrode of Radiofrequency Ablation for Large Tumors: A Finite Element Study","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering and Science in Medical Diagnostics and Therapy","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Ablation; Electrode; Radiofrequency ablation; Materials science; Rf ablation; Biomedical engineering; Radio frequency; Optoelectronics; Chemistry; Computer science; Medicine; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702005,0.0003894902,0.0005194363,0.0004340989,0.0002172884,0.0006073502,0.0009786792,0.00127034,0.001450156],"category_scores_gemma":[0.000663871,0.0004319678,0.0006386653,0.0002565599,0.0004327694,0.0005859905,0.0004352382,0.0002533162,0.0004254644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115049,"about_ca_system_score_gemma":0.0005301969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008097902,"about_ca_topic_score_gemma":0.0007792777,"domain_scores_codex":[0.9997187,0.00005164271,0.00001798969,0.00005836391,0.0001281909,0.00002505083],"domain_scores_gemma":[0.9997475,0.00009491306,0.00003738049,0.00003252118,0.00007266854,0.00001496975],"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":[0.0001440955,0.0001099101,0.002656715,0.0005944985,0.00007934724,0.0008878198,0.0003620291,0.8110468,0.1201713,0.0068829,0.0009732064,0.05609133],"study_design_scores_gemma":[0.00001979456,0.0001627563,0.0006647853,0.00003530747,0.0000352454,0.0003242845,0.00006362562,0.9806362,0.01187709,0.0006028306,0.005550846,0.00002723855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09127405,0.0007595757,0.8987759,0.0002605743,0.0000887788,0.0001561204,0.00009639752,0.0003563926,0.008232193],"genre_scores_gemma":[0.7050825,0.0007559767,0.2876729,0.00007115984,0.00002106924,0.000400782,0.0001075438,0.00006098651,0.005826996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001450156,"threshold_uncertainty_score":0.004851222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207625853624777,"score_gpt":0.2812719211990888,"score_spread":0.2591956626628411,"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."}}