{"id":"W4399363529","doi":"10.1016/j.omtm.2024.101277","title":"Cardiac gene delivery using ultrasound: State of the field","year":2024,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Institutes of Health Research; Canadian Cardiovascular Society; Canada Research Chairs; Burroughs Wellcome Fund","keywords":"Gene delivery; Genetic enhancement; Medicine; Visualization; Ultrasound; Bioinformatics; Computational biology; Computer science; Gene; Radiology; Biology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001126925,0.0001865074,0.0003028624,0.00004912393,0.00007363965,0.0000451921,0.0002844484,0.0001058026,0.00004241383],"category_scores_gemma":[0.00009709596,0.0001362584,0.0002985935,0.00030873,0.00006057388,0.00003675742,0.00004047947,0.0003009081,0.00001510704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004939117,"about_ca_system_score_gemma":0.0001406511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009612937,"about_ca_topic_score_gemma":0.00000149649,"domain_scores_codex":[0.998391,0.0003113794,0.0006127625,0.0002626083,0.0001955406,0.0002267105],"domain_scores_gemma":[0.9981175,0.001319104,0.00004066121,0.0004019203,0.00004708716,0.00007369526],"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":[0.000006505971,0.00002913972,0.0004192204,0.00002528913,0.0004283999,0.000002567067,0.0003139297,0.001088931,0.5814903,0.00008545089,0.00008840203,0.4160219],"study_design_scores_gemma":[0.0001727516,0.00002509877,0.006495891,0.00006537066,0.00004963252,0.00000492702,0.00001607659,0.001379599,0.8091257,0.001617351,0.1807529,0.0002947711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6880205,0.005969879,0.3045387,0.00006763313,0.0007952944,0.0002408736,0.000007349815,0.0001222737,0.0002375551],"genre_scores_gemma":[0.4151971,0.002876972,0.5807896,0.0007674221,0.00009496222,0.0000607912,0.000007881073,0.00008336973,0.0001219381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4157271,"threshold_uncertainty_score":0.5556455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017799821711171,"score_gpt":0.3764078030224022,"score_spread":0.3362298048052905,"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."}}