{"id":"W4305081949","doi":"10.1016/j.omtm.2022.10.009","title":"LPA disruption with AAV-CRISPR potently lowers plasma apo(a) in transgenic mouse model: A proof-of-concept study","year":2022,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada; American Heart Association","keywords":"CRISPR; Transgene; Genetically modified mouse; Proof of concept; Chemistry; Cell biology; Biology; Computational biology; Molecular biology; Biochemistry; Computer science; Gene","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":[0.001136775,0.001121469,0.0007226081,0.0008167233,0.0003922769,0.0009698027,0.0007917077,0.001302643,0.002809189],"category_scores_gemma":[0.0003685283,0.0003834245,0.0007641402,0.0002739081,0.0007044546,0.0007528712,0.0003720309,0.002865314,0.0008398748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974071,"about_ca_system_score_gemma":0.0006469733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008718785,"about_ca_topic_score_gemma":0.001323929,"domain_scores_codex":[0.9994755,0.00006831968,0.00005007135,0.00013278,0.0001873273,0.00008603519],"domain_scores_gemma":[0.9995172,0.00007578629,0.0001335781,0.000052246,0.00006559557,0.0001555118],"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":[0.0002870537,0.0003434838,0.0001486776,0.00009461957,0.00003181912,0.0001407569,0.00002265672,0.0001036811,0.9945635,0.0003249381,0.0004856359,0.003453296],"study_design_scores_gemma":[0.0001946874,0.0022955,0.001631098,0.00002808199,0.0001838222,0.000752234,0.00004783754,0.001576966,0.9865066,0.000317805,0.006437715,0.00002764825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518632,0.006374546,0.1191494,0.003498062,0.001157971,0.0009615528,0.004877511,0.004697824,0.007419896],"genre_scores_gemma":[0.9139147,0.007156117,0.05330781,0.001069419,0.0002447316,0.001031942,0.003376457,0.0006443805,0.01925444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002809189,"threshold_uncertainty_score":0.009397686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395217700568771,"score_gpt":0.4168500194878031,"score_spread":0.377328249430926,"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."}}