{"id":"W2033342363","doi":"10.1002/jmri.23878","title":"Volumetric MRI‐guided high‐intensity focused ultrasound for noninvasive, in vivo determination of tissue thermal conductivity: Initial experience in a pig model","year":2012,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada)","funders":"Church and Dwight; Texas Heart Institute","keywords":"High-intensity focused ultrasound; Ultrasound; In vivo; Intensity (physics); Biomedical engineering; Materials science; Thermal conductivity; Magnetic resonance imaging; Medicine; Radiology; Nuclear magnetic resonance; Physics; Optics; Biology","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":[0.002431707,0.0009419467,0.0004449403,0.0004263733,0.0002151748,0.0004119873,0.0007891253,0.001002941,0.0008057147],"category_scores_gemma":[0.001427841,0.0004318672,0.0004323907,0.0001979555,0.001143933,0.0006320941,0.0002875921,0.0007272045,0.0004380661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992141,"about_ca_system_score_gemma":0.0002706357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006232986,"about_ca_topic_score_gemma":0.0007779528,"domain_scores_codex":[0.9991985,0.0004221503,0.00002334696,0.000143177,0.0001444638,0.00006831776],"domain_scores_gemma":[0.9991251,0.0003445621,0.0002000821,0.0001786928,0.00009854959,0.00005305179],"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":[0.000329202,0.0002852768,0.001099825,0.0001116875,0.00002275936,0.0001214544,0.0001184624,0.0005512699,0.9875476,0.00004950064,0.00008932866,0.009673657],"study_design_scores_gemma":[0.0001705988,0.01716442,0.02129154,0.00009319877,0.0002588635,0.002728314,0.0001943986,0.007492357,0.9459498,0.0001701067,0.004419414,0.00006688904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8119505,0.005547494,0.1790576,0.0003897793,0.000096282,0.0005750048,0.0001575498,0.0004118574,0.001813997],"genre_scores_gemma":[0.9051334,0.003307394,0.08893546,0.0002385866,0.00005842887,0.0004800976,0.0003126057,0.0001174563,0.001416481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002431707,"threshold_uncertainty_score":0.01286024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651935466259891,"score_gpt":0.2794481153175442,"score_spread":0.2529287606549453,"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."}}