{"id":"W2227100223","doi":"10.1186/2050-5736-3-s1-o67","title":"Direct nanodroplet and microbubble comparison for high intensity focused ultrasound ablation enhancement and safety","year":2015,"lang":"en","type":"article","venue":"Journal of Therapeutic Ultrasound","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Division of Materials Research; National Institute of General Medical Sciences; Focused Ultrasound Foundation; National Institutes of Health; National Science Foundation","keywords":"High-intensity focused ultrasound; Microbubbles; Ablation; Ultrasound; Medicine; Focused ultrasound; Biomedical engineering; Radiology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006713,0.0002044323,0.0004466554,0.00009227813,0.0001263085,0.0001107904,0.0001232684,0.00009751249,0.0000212857],"category_scores_gemma":[0.00007596674,0.0001755342,0.00006798793,0.0001133961,0.00008981852,0.0002072444,0.000009960216,0.0001720304,0.000003111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302357,"about_ca_system_score_gemma":0.00003820949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001790464,"about_ca_topic_score_gemma":0.00002202942,"domain_scores_codex":[0.9988719,0.00003404496,0.0005202165,0.0001531799,0.0001900761,0.0002305584],"domain_scores_gemma":[0.9986213,0.000620338,0.0001941464,0.0001576377,0.000237794,0.0001687515],"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":[0.0005727119,0.0002586134,0.01111974,0.0001209792,0.0008923863,0.000001556887,0.004291223,0.001743007,0.961952,0.001008735,0.004287359,0.01375169],"study_design_scores_gemma":[0.01996548,0.003679224,0.08145778,0.0004894228,0.002446934,0.002633343,0.005652007,0.004601277,0.4324873,0.0320169,0.4116723,0.002898005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312369,0.004027524,0.06321237,0.0002250799,0.0004438508,0.0003576917,0.00003119661,0.00005074856,0.0004146253],"genre_scores_gemma":[0.9919593,0.0007161211,0.006864377,0.0001288229,0.0001856818,0.00001110936,0.00001524741,0.00003529596,0.00008406511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5294647,"threshold_uncertainty_score":0.7158077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371463233051951,"score_gpt":0.247526987114779,"score_spread":0.2238123547842595,"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."}}