{"id":"W4388753588","doi":"10.1056/evidoa2200325","title":"RNA Interference Therapy Targeting Apolipoprotein C-III in Hypertriglyceridemia","year":2023,"lang":"en","type":"article","venue":"NEJM Evidence","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université de Montréal","funders":"","keywords":"Hypertriglyceridemia; Apolipoprotein B; RNA interference; Medicine; Interference (communication); Cancer research; Internal medicine; RNA; Chemistry; Biochemistry; Cholesterol; Computer science; Triglyceride; Telecommunications; Gene","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":[0.0006696154,0.0001816636,0.0003638278,0.0002426992,0.00005747493,0.00002781727,0.0002195378,0.0001039687,0.0002770575],"category_scores_gemma":[0.001097189,0.0001469663,0.00008618936,0.0008396569,0.00007955898,0.0003055023,0.00008957334,0.0003153459,0.0005375915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421794,"about_ca_system_score_gemma":0.0001629828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009403419,"about_ca_topic_score_gemma":0.00003177108,"domain_scores_codex":[0.9983828,0.00007547883,0.0003759581,0.0003931942,0.0003168395,0.0004557044],"domain_scores_gemma":[0.9991059,0.0002402854,0.0000772501,0.0003747072,0.00006054895,0.0001413576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002125396,0.0002095696,0.1291407,0.0003639383,0.00005695481,0.0002578105,0.00628808,0.00008843456,0.5129836,0.0008465858,0.03740462,0.3102343],"study_design_scores_gemma":[0.01899017,0.001599629,0.5778686,0.007420583,0.0001388754,0.0001011715,0.007880433,0.008753431,0.2354278,0.005592357,0.1338719,0.002355019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876281,0.005848045,0.0001033461,0.003343051,0.0004495209,0.0005253817,0.000001420453,0.0002364388,0.001864702],"genre_scores_gemma":[0.9908726,0.005762862,0.0003756126,0.001477847,0.0003531323,0.00008501617,0.000007093937,0.00002613628,0.001039712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4487279,"threshold_uncertainty_score":0.6909831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708745473908623,"score_gpt":0.3328108356171358,"score_spread":0.2619362882262735,"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."}}