{"id":"W2071633708","doi":"10.1118/1.4897382","title":"Spatiotemporal filtering of MR‐temperature artifacts arising from bowel motion during transurethral MR‐HIFU","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada); Sunnybrook Health Science Centre","funders":"National Cancer Institute; FedDev Ontario; National Institutes of Health","keywords":"Artifact (error); Magnetic resonance imaging; Prostate; Noise (video); Filter (signal processing); Imaging phantom; Ultrasound; Biomedical engineering; Materials science; Computer science; Nuclear medicine; Computer vision; Radiology; Physics; Acoustics; Medicine; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005035417,0.0002825554,0.0002457267,0.0003560913,0.0001454369,0.0002818478,0.0001860327,0.000308281,0.0002620171],"category_scores_gemma":[0.002581239,0.0001420807,0.0002570812,0.0003153043,0.0002160475,0.0002246386,0.0001698253,0.0002334751,0.0001094802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135902,"about_ca_system_score_gemma":0.0002559039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535519,"about_ca_topic_score_gemma":0.002044218,"domain_scores_codex":[0.9998165,0.00004197988,0.00001610042,0.00003665023,0.00007039183,0.00001839428],"domain_scores_gemma":[0.9994556,0.0002428849,0.000124863,0.0000452932,0.0001123299,0.00001900587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001419947,0.0001011658,0.008815839,0.0003543117,0.00008809631,0.0004109134,0.0004323211,0.01705576,0.8302335,0.0002631324,0.0003672123,0.1404578],"study_design_scores_gemma":[0.00003275027,0.000944777,0.1420381,0.00005266583,0.000173606,0.001954309,0.0001504821,0.1752334,0.675807,0.0002969883,0.003245595,0.00007028271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7750652,0.001221903,0.2226975,0.00008178515,0.00004530954,0.00005091379,0.0000884025,0.0002919096,0.0004570593],"genre_scores_gemma":[0.9414096,0.000404225,0.05737918,0.00003676476,0.00002226527,0.00004543814,0.0001740188,0.00006985401,0.000458653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001535519,"threshold_uncertainty_score":0.003053188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007312395712925066,"score_gpt":0.2016392212124126,"score_spread":0.1943268254994875,"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."}}