{"id":"W4399878238","doi":"10.5551/jat.ed267","title":"Genetic Determinants of High-density Lipoprotein Cholesterol Efflux Capacity: Insights from Paraoxonase 1 Polymorphisms","year":2024,"lang":"en","type":"editorial","venue":"Journal of Atherosclerosis and Thrombosis","topic":"Paraoxonase enzyme and polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paraoxonase; Efflux; PON1; Cholesterol; Aryldialkylphosphatase; High-density lipoprotein; Genetics; Lipoprotein; Chemistry; Biology; Medicine; Internal medicine; Gene; Biochemistry; Enzyme; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002789274,0.0006699594,0.001426205,0.0002114993,0.0001146316,0.0001218452,0.0005504705,0.001341029,0.00003289418],"category_scores_gemma":[0.0001779632,0.0005549198,0.0005673908,0.0001512484,0.0003297939,0.00002323813,0.0002869995,0.0007633356,0.00001801417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005011868,"about_ca_system_score_gemma":0.0002904707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970285,"about_ca_topic_score_gemma":0.0006403961,"domain_scores_codex":[0.9966594,0.000212589,0.001253666,0.0006689435,0.0008286036,0.0003767909],"domain_scores_gemma":[0.997231,0.0001520079,0.001293658,0.0006758653,0.0003469462,0.0003005109],"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":[0.0001660864,0.000431395,0.003760617,0.0002766481,0.001448325,0.00001219602,0.000452665,0.000007383684,0.6976838,0.000006017113,0.2927649,0.00299001],"study_design_scores_gemma":[0.002838727,0.002594024,0.154899,0.002384891,0.0016149,0.00003609659,0.00005223057,0.00001376861,0.7600548,0.0005603302,0.07377174,0.001179493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669544,0.003527497,0.00005719493,0.00003076103,0.1284894,0.0001868822,0.0007311692,0.000008546246,0.00001409739],"genre_scores_gemma":[0.8259353,0.005833542,0.0005766725,0.00007155732,0.1672598,0.00001334404,0.00007656207,0.0001160516,0.0001171839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189932,"threshold_uncertainty_score":0.9999554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152007638520041,"score_gpt":0.2468240065874223,"score_spread":0.2316232427354182,"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."}}