{"id":"W2122822045","doi":"10.1186/2050-5736-1-14","title":"Estimating dynamic changes of tissue attenuation coefficient during high-intensity focused ultrasound treatment","year":2013,"lang":"en","type":"article","venue":"Journal of Therapeutic Ultrasound","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attenuation; Attenuation coefficient; Ultrasound; High-intensity focused ultrasound; Intensity (physics); Materials science; Nuclear medicine; Bubble; Biomedical engineering; Pulse (music); Medicine; Optics; Radiology; Physics","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":[0.0002712337,0.0002443344,0.0002422296,0.000365848,0.0001273998,0.0003290605,0.0002471092,0.000514622,0.0004697141],"category_scores_gemma":[0.0009701604,0.0002281666,0.0001560511,0.00029081,0.0001948282,0.000347392,0.0001997962,0.0002754154,0.000132795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708378,"about_ca_system_score_gemma":0.000214599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431932,"about_ca_topic_score_gemma":0.001372454,"domain_scores_codex":[0.9998676,0.00002593096,0.000005297517,0.00002993701,0.00004892471,0.00002245823],"domain_scores_gemma":[0.9996152,0.0002051773,0.00007811723,0.00002042754,0.00005623789,0.00002475632],"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":[0.001806685,0.0001326909,0.01582505,0.000129344,0.00005835585,0.0002810636,0.0002918864,0.008783235,0.9293031,0.00005878965,0.0001797977,0.04314997],"study_design_scores_gemma":[0.00005745908,0.001651612,0.2392208,0.00002604266,0.0003268802,0.001926283,0.0004719719,0.1649469,0.5898623,0.0002174095,0.001198995,0.00009323834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9719935,0.0004837966,0.02661468,0.00003772821,0.00001168395,0.00002326035,0.00006276133,0.00009595275,0.0006765134],"genre_scores_gemma":[0.9938114,0.0002190531,0.005391852,0.00002132237,0.000007305439,0.00001468765,0.00006754015,0.00002166738,0.0004451532],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001431932,"threshold_uncertainty_score":0.002847195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119725087878112,"score_gpt":0.2339702188609476,"score_spread":0.2227729679821664,"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."}}