{"id":"W4413110707","doi":"10.1093/eurheartj/ehaf517","title":"Cardiovascular biomarkers for risk stratification in primary prevention","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Risk stratification; Primary prevention; Stratification (seeds); Primary (astronomy); Risk assessment; Intensive care medicine; Internal medicine; Disease","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":[0.009720229,0.001158745,0.002817757,0.002432658,0.0005184673,0.00333211,0.001074641,0.002062508,0.006421798],"category_scores_gemma":[0.01156938,0.0004362267,0.001369136,0.002174648,0.001042896,0.002097135,0.001672235,0.004912774,0.002964108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133874,"about_ca_system_score_gemma":0.003312815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804741,"about_ca_topic_score_gemma":0.001781386,"domain_scores_codex":[0.9958193,0.002305175,0.0003733141,0.0003975315,0.0009334274,0.0001711618],"domain_scores_gemma":[0.9948249,0.00262605,0.0006299124,0.0004004314,0.001261802,0.0002568785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004958043,0.0001917517,0.01126543,0.008067019,0.001124111,0.0003086665,0.0002160929,0.001053699,0.002069529,0.05135121,0.09365029,0.8302064],"study_design_scores_gemma":[0.0002498507,0.0007466731,0.02412723,0.01664934,0.001254245,0.002239628,0.0003070502,0.003062948,0.002131253,0.1304073,0.8186197,0.0002048649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001770408,0.9337656,0.02193417,0.02870262,0.004734838,0.0001558876,0.0007734436,0.0001862445,0.007976792],"genre_scores_gemma":[0.04429321,0.850847,0.07241829,0.01223017,0.01231432,0.0004850877,0.001841028,0.00008891705,0.005481915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009720229,"threshold_uncertainty_score":0.05140609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270585087552281,"score_gpt":0.2982616772966115,"score_spread":0.2712031685413834,"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."}}