{"id":"W2114072420","doi":"10.1371/journal.pone.0002175","title":"Ultrasound Enhanced Delivery of Molecular Imaging and Therapeutic Agents in Alzheimer's Disease Mouse Models","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Defense Science and Engineering Graduate; National Institute on Aging; National Institutes of Health; Harvard University","keywords":"Blood–brain barrier; Amyloid (mycology); Medicine; Pathology; In vivo; Alzheimer's disease; Genetically modified mouse; Senile plaques; Chemistry; Transgene; Disease; Central nervous system; Biology; Internal medicine; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004815375,0.0008316566,0.0006680803,0.000853294,0.0001950689,0.0004380915,0.0006623533,0.0009864931,0.001074452],"category_scores_gemma":[0.0001925612,0.0003969118,0.0004098878,0.0003378778,0.0005983462,0.0004486238,0.0003226924,0.001484436,0.0004293931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004861861,"about_ca_system_score_gemma":0.0003241697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129002,"about_ca_topic_score_gemma":0.001410988,"domain_scores_codex":[0.9995697,0.00007886836,0.00003955552,0.0001122509,0.0001246678,0.00007494938],"domain_scores_gemma":[0.9998142,0.00002726388,0.00006428254,0.00002271999,0.00003309985,0.00003842668],"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":[0.0001797749,0.0001042623,0.00003988992,0.0000535391,0.000008091973,0.00004013677,0.00002996862,0.0001117518,0.9976586,0.0001495274,0.00009484599,0.001529587],"study_design_scores_gemma":[0.00007056051,0.001539453,0.0007017922,0.00001870111,0.00006043014,0.0002166379,0.00001959307,0.001311194,0.9925106,0.0001013641,0.003437087,0.00001261108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441043,0.009819891,0.03881213,0.0004951538,0.0002255864,0.0005242405,0.001243759,0.00129171,0.003483332],"genre_scores_gemma":[0.9175344,0.01241074,0.05093159,0.0004039484,0.00009398413,0.001600355,0.001660606,0.0001664767,0.01519798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129002,"threshold_uncertainty_score":0.003594458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916235705213755,"score_gpt":0.2165698772314362,"score_spread":0.1774075201792986,"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."}}