{"id":"W3014648016","doi":"10.3390/bioengineering7020035","title":"Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models","year":2020,"lang":"en","type":"article","venue":"Bioengineering","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Basque Center for Applied Mathematics; Eusko Jaurlaritza; Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; Canada Research Chairs; Ministerio de Ciencia, Innovación y Universidades","keywords":"Radiofrequency ablation; Homogeneous; Domain (mathematical analysis); Biomedical engineering; Computer science; Ablation; Medicine; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001302032,0.000148337,0.0001676081,0.00005134091,0.00003718304,0.00002762875,0.0001075776,0.0000342178,0.000004067687],"category_scores_gemma":[0.000004965935,0.000138644,0.00003316978,0.0001764744,0.00001195644,0.00008653551,0.000005877876,0.00008236468,0.000002221186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004167921,"about_ca_system_score_gemma":0.00001224115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008262211,"about_ca_topic_score_gemma":0.00001750469,"domain_scores_codex":[0.9993659,0.00001218332,0.0001737877,0.0001699011,0.00009541585,0.0001828315],"domain_scores_gemma":[0.9997121,0.00008856702,0.00001318513,0.0001020668,0.00001798085,0.00006607714],"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":[0.00001409856,0.00004426081,0.0009490462,0.00004963122,0.00006279026,0.000002371876,0.001714064,0.9895408,0.006274622,0.0008381774,0.00001694936,0.0004931681],"study_design_scores_gemma":[0.0008680387,0.0001561015,0.001058836,0.00001287442,0.000008919101,0.000002357355,0.0003561667,0.9958767,0.00007871016,0.0003890954,0.0009832869,0.0002089263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4629939,0.0003488439,0.5358576,0.0001129,0.00001150942,0.0004301199,0.00001118034,0.0002150067,0.00001889117],"genre_scores_gemma":[0.9690953,0.00001504836,0.03040315,0.00006305255,0.0000571922,0.0003007806,0.000019128,0.00004542045,9.622119e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5061014,"threshold_uncertainty_score":0.5653739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059703674118752,"score_gpt":0.2163753834380304,"score_spread":0.1957783466968429,"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."}}