{"id":"W4283588689","doi":"10.1002/mp.15825","title":"Planning system for the optimization of electric field delivery using implanted electrodes for brain tumor control","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Cancer Research Society","keywords":"Imaging phantom; Computer science; Radiation treatment planning; Biomedical engineering; Pipeline (software); Voltage; Materials science; Magnetic resonance imaging; Nuclear medicine; Medicine; Radiology; Electrical engineering; Engineering; Radiation therapy","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":[0.0002686486,0.00008288566,0.0001464515,0.00003609827,0.000368016,0.00001610917,0.0002931641,0.00001711152,0.000003911809],"category_scores_gemma":[0.0008808773,0.0000638082,0.00007396137,0.0003485766,0.00002170151,0.0000777667,0.00003821165,0.0001734966,9.606288e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003635714,"about_ca_system_score_gemma":0.00008805509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006089235,"about_ca_topic_score_gemma":6.810383e-8,"domain_scores_codex":[0.9989548,0.00004950301,0.0001782356,0.0001972006,0.0003615761,0.0002586502],"domain_scores_gemma":[0.9972133,0.002524338,0.00009524201,0.0001027029,0.00002136634,0.00004307375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001147742,0.00002440339,0.000009869521,0.00005566058,0.000003327409,0.000005796935,0.00003091839,0.2143993,0.7835967,0.0006005277,0.0002346287,0.0009240661],"study_design_scores_gemma":[0.0003101195,0.0001633124,0.000001314954,0.00001083318,0.00001031287,0.00002584055,0.00001275176,0.5660392,0.4332745,0.00002637876,0.00008311182,0.00004231427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2097428,0.00003896864,0.7889146,0.0003893675,0.0003421122,0.0004895076,0.00002350019,0.00004928233,0.000009853709],"genre_scores_gemma":[0.9978963,0.000002186437,0.00007510042,0.001765248,0.0001377453,0.0001013536,0.000001443241,0.00001426491,0.000006324666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7888395,"threshold_uncertainty_score":0.2830518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773194410950112,"score_gpt":0.27349990606161,"score_spread":0.2457679619521089,"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."}}