{"id":"W4399140511","doi":"10.1056/nejmoa2404147","title":"Zodasiran, an RNAi Therapeutic Targeting ANGPTL3, for Mixed Hyperlipidemia","year":2024,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"Arrowhead Pharmaceuticals","keywords":"Hyperlipidemia; Triglyceride; Lipoprotein; PCSK9; Pharmacology; Medicine; Chemistry; Cholesterol; Internal medicine; Endocrinology; LDL receptor; Diabetes mellitus","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":[0.001940554,0.0002034802,0.0006696419,0.0002951587,0.00006112741,0.00002333188,0.0001397275,0.0001003415,0.0003439012],"category_scores_gemma":[0.000805158,0.0001194852,0.0001790271,0.0002384084,0.00008660948,0.0002233043,0.00001029017,0.0004175016,0.000009120653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003159118,"about_ca_system_score_gemma":0.0003468889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004017816,"about_ca_topic_score_gemma":0.000009279497,"domain_scores_codex":[0.9982573,0.00009333819,0.0006909544,0.0001975965,0.0004587296,0.0003020402],"domain_scores_gemma":[0.998489,0.0004456897,0.0001670413,0.0001769204,0.0002291312,0.0004922324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001636514,0.0001106527,0.002427705,0.0003938515,0.0003516692,0.0001587735,0.003020459,0.00002245658,0.03813984,0.001819027,0.1303104,0.8216086],"study_design_scores_gemma":[0.04195929,0.002621504,0.003568346,0.0007805311,0.001145006,0.001146515,0.00113399,0.0007982508,0.0009913777,0.004124183,0.9415544,0.0001765816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289628,0.1478096,0.03442597,0.067729,0.01572892,0.0008927713,0.0000125723,0.0001836635,0.004254674],"genre_scores_gemma":[0.9610186,0.001090295,0.003784506,0.002931217,0.02931477,0.000003493902,0.00002638957,0.00005772178,0.001773025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8214321,"threshold_uncertainty_score":0.4872465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156418687672267,"score_gpt":0.3252313169021522,"score_spread":0.2936671300254295,"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."}}