{"id":"W2305394964","doi":"10.1016/j.ijrobp.2016.03.019","title":"Magnetic Resonance–Guided High-Intensity Focused Ultrasound Hyperthermia for Recurrent Rectal Cancer: MR Thermometry Evaluation and Preclinical Validation","year":2016,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; Sunnybrook Health Science Centre; Thunder Bay Regional Research Institute; University of Toronto; Health Sciences Centre","funders":"","keywords":"Medicine; Hyperthermia; Magnetic resonance imaging; High-intensity focused ultrasound; Rectum; Colorectal cancer; Radiology; Nuclear medicine; Context (archaeology); Radiation therapy; Ultrasound; Cancer; Surgery; Internal medicine","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":[0.001835618,0.0003971705,0.0003566834,0.0003450707,0.0002243208,0.0004556446,0.0004951998,0.0004906335,0.0005864749],"category_scores_gemma":[0.001758831,0.0003320505,0.0003106454,0.0002424697,0.0007059029,0.0006011016,0.0002714304,0.000599425,0.0002469521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372613,"about_ca_system_score_gemma":0.0006174245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540359,"about_ca_topic_score_gemma":0.00149836,"domain_scores_codex":[0.9994923,0.0002506966,0.00002661874,0.0000624731,0.000120173,0.00004772157],"domain_scores_gemma":[0.999466,0.0001529071,0.0001547058,0.00008408195,0.0001024585,0.00003991526],"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":[0.002334527,0.001918482,0.003646646,0.0002328116,0.0001091436,0.00008142162,0.0002601375,0.003677566,0.9498442,0.0001653289,0.0002808597,0.0374488],"study_design_scores_gemma":[0.0005059023,0.04272917,0.03627669,0.00005043379,0.0007453258,0.001007661,0.0002384434,0.02200692,0.8923809,0.0001349402,0.003848853,0.00007475101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857223,0.002061637,0.01083443,0.0001603024,0.00003400842,0.0001613041,0.00006088562,0.0001249781,0.0008403309],"genre_scores_gemma":[0.9925493,0.0007613917,0.006019745,0.00009089815,0.00002032947,0.00005772221,0.00008626048,0.00003770587,0.0003766097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835618,"threshold_uncertainty_score":0.009707749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619089898388688,"score_gpt":0.3378127336198472,"score_spread":0.3016218346359603,"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."}}