{"id":"W1974820515","doi":"10.1136/heartjnl-2013-303748","title":"Hypertension and cardiovascular disease endpoints by ethnic group: the promise of data linkage","year":2013,"lang":"en","type":"editorial","venue":"Heart","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Ethnic group; Linkage (software); Internal medicine; Disease; Cardiology; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.004876367,0.0002525925,0.0008847845,0.00006249313,0.0001014762,0.00002076643,0.0002235215,0.0005211139,0.0001101703],"category_scores_gemma":[0.00106532,0.0001724864,0.0005294337,0.0001216047,0.0001297793,0.0001386281,0.0002946644,0.000858632,0.00007547352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003444109,"about_ca_system_score_gemma":0.0002978643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000218304,"about_ca_topic_score_gemma":0.000002545048,"domain_scores_codex":[0.9960379,0.001206683,0.0004585495,0.000704455,0.001310167,0.0002822301],"domain_scores_gemma":[0.996399,0.0001874364,0.0001023926,0.002687393,0.0002575959,0.000366219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002736472,0.0001049447,0.00001308673,0.001525214,0.0006051289,0.0000212458,0.000022521,1.650942e-7,0.0001454812,7.826287e-7,0.9637746,0.03375947],"study_design_scores_gemma":[0.001656971,0.0001031091,0.002442646,0.0007444809,0.001626262,0.00003214179,0.00002070002,0.0001212974,0.00001634359,0.00001526675,0.9930665,0.0001542708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01483333,0.2900723,0.0025382,0.003617934,0.6761484,0.01032862,0.001672101,0.000272322,0.0005167932],"genre_scores_gemma":[0.01533452,0.05906965,0.0009634702,0.0008837801,0.899425,0.0005108195,0.01791514,0.0003175923,0.005580081],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2310026,"threshold_uncertainty_score":0.703379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654272540845828,"score_gpt":0.3259185672623829,"score_spread":0.2693758418539246,"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."}}