{"id":"W2140603372","doi":"10.1117/1.jmi.2.1.013502","title":"Single-coil magnetic induction tomographic three-dimensional imaging","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"Kimberly-Clark","keywords":"Electromagnetic coil; Eddy current; Electromagnetic induction; Medicine; Nuclear magnetic resonance; Transverse plane; Conductivity; Tomography; Acoustics; Biomedical engineering; Physics; Radiology","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":[0.0003231123,0.0002898479,0.000324259,0.0006892272,0.0001749047,0.0006508541,0.0004067716,0.0004508776,0.003526148],"category_scores_gemma":[0.0009952793,0.0002522654,0.0002172277,0.000564969,0.0002907817,0.0005146494,0.0003767675,0.0002692811,0.0008242803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678968,"about_ca_system_score_gemma":0.0004373073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003357698,"about_ca_topic_score_gemma":0.0006959229,"domain_scores_codex":[0.9998629,0.00002671858,0.000008362706,0.00002628229,0.0000601907,0.00001550347],"domain_scores_gemma":[0.9996563,0.0001316793,0.00003884149,0.0000640788,0.0000845113,0.00002462813],"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":[0.0008201108,0.0001064734,0.007642145,0.0008516794,0.000092892,0.001062612,0.0002812912,0.0242711,0.6258407,0.009858948,0.006932242,0.3222398],"study_design_scores_gemma":[0.00008737886,0.0005546535,0.01673208,0.0001260196,0.0001959696,0.01457376,0.0002110691,0.3900027,0.5195996,0.00832664,0.04942342,0.0001666746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06489412,0.001171742,0.9231514,0.0004604079,0.00006344313,0.0001223481,0.0004747425,0.001321732,0.008340124],"genre_scores_gemma":[0.5275301,0.00151452,0.4649916,0.0002346156,0.00006432238,0.0001919826,0.0004825338,0.0002079555,0.004782303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003526148,"threshold_uncertainty_score":0.01179618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459418552375493,"score_gpt":0.2266792447152741,"score_spread":0.2120850591915192,"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."}}