{"id":"W2066045650","doi":"10.1038/mtna.2013.20","title":"Optimization of Ultrasound-mediated Anti-angiogenic Cancer Gene Therapy","year":2013,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Krembil Foundation; University of Toronto","keywords":"Microbubbles; Gene knockdown; Gene silencing; Cancer research; Angiogenesis; Medicine; Neovascularization; Genetic enhancement; Small hairpin RNA; Perfusion; Ultrasound; Cancer; Pathology; Biology; Internal medicine; Gene; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005654983,0.0002381468,0.0002545833,0.0000990014,0.00006627839,0.00004516033,0.0002805489,0.0001432233,0.001662446],"category_scores_gemma":[0.000006940311,0.0002180448,0.0001537131,0.0003987213,0.00007239488,0.0001291043,0.000009205067,0.0001089015,0.0001027366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003956659,"about_ca_system_score_gemma":0.00002458633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045407,"about_ca_topic_score_gemma":0.000001376426,"domain_scores_codex":[0.9989768,0.00003295314,0.0002851141,0.000219177,0.0001977877,0.0002881282],"domain_scores_gemma":[0.9992768,0.00004435414,0.00005985771,0.0004222867,0.0001091331,0.00008758397],"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":[0.000004551013,0.00005979609,0.001232934,0.000006117069,0.0002180629,7.292179e-7,0.0002208964,0.06969946,0.9233265,0.00004814674,0.0002474085,0.004935416],"study_design_scores_gemma":[0.002124437,0.0001093944,0.01540302,0.00002463155,0.00004196407,0.00001703551,0.00007835005,0.02682304,0.9383558,0.0003155225,0.01592353,0.0007832577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602717,0.006130608,0.03192205,0.0001256973,0.0001124407,0.0005228165,0.00003421074,0.0003016436,0.0005788698],"genre_scores_gemma":[0.9853786,0.01008518,0.003622424,0.0003743839,0.00006067,0.0002310518,0.00009457263,0.0001114115,0.00004172914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04287642,"threshold_uncertainty_score":0.9992502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007133023728704242,"score_gpt":0.2058646890681221,"score_spread":0.1987316653394179,"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."}}