{"id":"W2093996932","doi":"10.1002/mrm.22967","title":"The feasibility of endorectal MR elastography for prostate cancer localization","year":2011,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Magnetic resonance elastography; Elastography; Prostate; Magnetic resonance imaging; Imaging phantom; Prostate cancer; Electromagnetic coil; Stiffness; Biomedical engineering; Medicine; Materials science; Acoustics; Radiology; Cancer; Ultrasound; Physics","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":[0.002000744,0.0003613306,0.0002767847,0.0004300446,0.0001624688,0.0004751936,0.0003558063,0.0006122281,0.001513182],"category_scores_gemma":[0.004122441,0.0002855299,0.0001801552,0.00012065,0.0007591723,0.0006323936,0.000383157,0.000447033,0.0004170561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166605,"about_ca_system_score_gemma":0.0002816111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001950723,"about_ca_topic_score_gemma":0.0004441212,"domain_scores_codex":[0.9990631,0.0005920818,0.00002439364,0.00009219137,0.0001863999,0.00004182649],"domain_scores_gemma":[0.9982756,0.001314408,0.0001134148,0.0001087106,0.000137448,0.00005043887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001209931,0.00009767372,0.007526042,0.000311369,0.00002954737,0.0006192432,0.0001284126,0.001574714,0.8630107,0.001228481,0.0002609854,0.1240029],"study_design_scores_gemma":[0.0002568522,0.006803813,0.08129732,0.000200315,0.0003256508,0.01630052,0.0004037103,0.04866422,0.8184274,0.002559369,0.0245122,0.0002486304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6331486,0.02810477,0.3251056,0.001839551,0.0002495764,0.0002774026,0.0001076155,0.0005510066,0.01061587],"genre_scores_gemma":[0.9305068,0.002847403,0.06508967,0.0002050201,0.00008629069,0.00005946491,0.00005558529,0.00004018837,0.00110956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000744,"threshold_uncertainty_score":0.01058108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724248078581142,"score_gpt":0.2938374620968772,"score_spread":0.2665949813110658,"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."}}