{"id":"W4408528989","doi":"10.1016/j.jacc.2025.03.496","title":"Effect of Targeting ApoC-III With Plozasiran on Lipoprotein Particle Size and Number in Hypertriglyceridemia","year":2025,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Université de Montréal","funders":"European Commission; Arrowhead Pharmaceuticals","keywords":"Medicine; Hypertriglyceridemia; Internal medicine; Particle size; Cardiology; Gastroenterology; Triglyceride; Cholesterol","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":[0.0004302151,0.000622326,0.001143224,0.0001973541,0.0002092754,0.0006057922,0.0004133947,0.0006904464,0.001686305],"category_scores_gemma":[0.0006102715,0.0002737974,0.0005394405,0.0001766783,0.0005350995,0.0007842417,0.0002551957,0.001611543,0.0003930441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956706,"about_ca_system_score_gemma":0.0005322001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008260364,"about_ca_topic_score_gemma":0.0009280342,"domain_scores_codex":[0.9997788,0.00007107255,0.00001883275,0.00003589882,0.00002182373,0.00007364653],"domain_scores_gemma":[0.9998183,0.00004811571,0.00002315298,0.00001811427,0.00001112802,0.00008136359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.4898416,0.01715897,0.001488791,0.0003778428,0.0005954898,0.0004366517,0.0001803767,0.001647974,0.4249172,0.0004830891,0.001541638,0.06133035],"study_design_scores_gemma":[0.07746492,0.3298501,0.02423658,0.00005751962,0.001817793,0.0008503537,0.0003021453,0.0158636,0.5446467,0.0005192643,0.004232959,0.0001579547],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979906,0.0007107623,0.0002955643,0.000147865,0.0001096869,0.00005899075,0.00007133881,0.00007130044,0.0005438942],"genre_scores_gemma":[0.9980834,0.0004422385,0.0004297968,0.00009442671,0.00005117877,0.00006543405,0.00009959657,0.00001246294,0.0007216503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001686305,"threshold_uncertainty_score":0.005641222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004342536659648536,"score_gpt":0.2486979972675989,"score_spread":0.2443554606079503,"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."}}