{"id":"W2978643659","doi":"10.1115/imece2017-70810","title":"Analysis and Optimization of Determining Factors in Irreversible Electroporation for Large Ablation Zones Without Thermal Damage","year":2017,"lang":"en","type":"article","venue":"","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Ablation; Volume (thermodynamics); Maximum temperature; Electrode; Materials science; Irreversible electroporation; Biomedical engineering; Analytical Chemistry (journal); Response surface methodology; Ablation zone; Electroporation; Composite material; Chemistry; Chromatography; Medicine; Thermodynamics; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051897,0.0007389446,0.0007060842,0.0004798058,0.0002100619,0.0006245372,0.000336399,0.0003857785,0.0005933365],"category_scores_gemma":[0.00267585,0.0002822597,0.0006294363,0.0004757953,0.0004353452,0.0004991788,0.0003053283,0.0004304754,0.0002134789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002953525,"about_ca_system_score_gemma":0.0005024267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005312233,"about_ca_topic_score_gemma":0.000984801,"domain_scores_codex":[0.9992052,0.0001214802,0.00006066313,0.0001517715,0.0003913639,0.00006951044],"domain_scores_gemma":[0.9987764,0.0006123762,0.0002660405,0.00005616798,0.0002540303,0.00003495071],"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":[0.0002700448,0.00009560009,0.002436837,0.0004753874,0.00002954455,0.00007805361,0.00008107626,0.006392526,0.9600467,0.0001454113,0.00009070729,0.02985808],"study_design_scores_gemma":[0.0000241879,0.001765439,0.02455258,0.00003509331,0.0001870299,0.0001928999,0.000175026,0.0376638,0.9324384,0.0002638611,0.002643464,0.00005815261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272185,0.003656921,0.1670992,0.00007050698,0.00005146986,0.0001887525,0.0001306281,0.000237859,0.001346172],"genre_scores_gemma":[0.9162442,0.001669126,0.08071885,0.00005233192,0.00001662926,0.0002472819,0.0001563747,0.0001011277,0.0007940431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051897,"threshold_uncertainty_score":0.00556308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023156618767113,"score_gpt":0.3212852468937529,"score_spread":0.3010536807060817,"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."}}