{"id":"W2136033789","doi":"10.1109/tmi.2010.2078513","title":"Radio-Frequency Current Density Imaging Based on a 180$^\\circ$ Sample Rotation With Feasibility Study of Full Current Density Vector Reconstruction","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Current (fluid); Current density; Sample (material); Rotation (mathematics); Iterative reconstruction; Radio frequency; Nuclear magnetic resonance; Physics; Computer science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004485189,0.000315095,0.0003613959,0.000361017,0.0002252376,0.00003891962,0.0001927907,0.00006717708,0.0001315039],"category_scores_gemma":[0.0000728368,0.0002710235,0.0001545168,0.0006818124,0.0002065571,0.0002213051,0.000001653577,0.001487999,0.000007941185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524478,"about_ca_system_score_gemma":0.0001088424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001786092,"about_ca_topic_score_gemma":0.0006910362,"domain_scores_codex":[0.9976341,0.0001312046,0.0004889409,0.0005015679,0.0008389591,0.0004052962],"domain_scores_gemma":[0.9986762,0.0002985137,0.00009836501,0.0004269883,0.0001899401,0.0003099708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000274111,0.002579678,0.1037105,0.0002276649,0.00006467967,0.00001859605,0.0002985867,0.003137955,0.01649833,0.00001137709,0.00003932473,0.8731392],"study_design_scores_gemma":[0.005573376,0.0007687981,0.09391942,0.0006304284,0.0003968571,0.000169146,0.0002826644,0.8600287,0.03654183,0.0005141689,0.0000471511,0.001127431],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5748717,0.00005937974,0.4232446,0.00008992461,0.001096146,0.0003844893,0.00001579977,0.000223267,0.00001476467],"genre_scores_gemma":[0.9981213,0.00002813712,0.001608737,0.00002668472,0.0001226004,0.0000531098,0.00000739223,0.00003160593,4.195639e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8720118,"threshold_uncertainty_score":0.9999742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041441642303555,"score_gpt":0.2489107871742419,"score_spread":0.2384963707512064,"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."}}