{"id":"W4410587725","doi":"10.1097/01.hjh.0001116692.69387.54","title":"ROLE OF CYTOCHROME P450 GENE RS1126742 POLYMORPHISM AND RISK OF HYPERTENSION","year":2025,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Genetics; Gene; Polymorphism (computer science); Cytochrome P450; Internal medicine; Allele; Metabolism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001982751,0.0004799899,0.001243539,0.001252127,0.0002603105,0.0009447857,0.0004888948,0.0008061124,0.002841564],"category_scores_gemma":[0.007712211,0.0002598944,0.002697613,0.002688632,0.0003448353,0.0005024306,0.0003122917,0.0006649706,0.0001292043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615232,"about_ca_system_score_gemma":0.0005927173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072195,"about_ca_topic_score_gemma":0.001659218,"domain_scores_codex":[0.9979546,0.0007793747,0.0003622991,0.0004434462,0.0003374292,0.0001228668],"domain_scores_gemma":[0.9942808,0.003619835,0.001495867,0.0001721184,0.0002688647,0.0001626265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005074708,0.00008399597,0.9101797,0.01313274,0.02397118,0.001510617,0.0002109032,0.0004592206,0.001680077,0.0004464154,0.001636183,0.04161415],"study_design_scores_gemma":[0.0005717092,0.0004710773,0.951446,0.002689664,0.03545092,0.002446794,0.0001526249,0.001383054,0.0007140099,0.001218731,0.003419668,0.00003573329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5449761,0.4454229,0.001888921,0.002215743,0.0004296473,0.0001499543,0.002091919,0.00004566021,0.002779173],"genre_scores_gemma":[0.9741607,0.02363813,0.0006761247,0.0002480814,0.0003384486,0.00006652086,0.0005379954,0.00001015884,0.0003238323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002841564,"threshold_uncertainty_score":0.01048589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06701860276290747,"score_gpt":0.3521686190365009,"score_spread":0.2851500162735935,"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."}}