{"id":"W1997586556","doi":"10.1161/circulationaha.105.598987","title":"Vascular Biomarkers and Surrogates in Cardiovascular Disease","year":2006,"lang":"en","type":"article","venue":"Circulation","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Biomarker; Disease; Drug development; Intensive care medicine; Population; Biomarker discovery; Surrogate endpoint; Bioinformatics; Drug; Pathology; Pharmacology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599094,0.0001097881,0.0002809418,0.000139343,0.00005150645,0.00001813615,0.0000229323,0.00006518586,0.00001417029],"category_scores_gemma":[0.00004315815,0.0001048061,0.0003118541,0.0002490048,0.00004048033,0.00008801811,0.00001395949,0.000072332,0.000008401304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008745686,"about_ca_system_score_gemma":0.0000619662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151232,"about_ca_topic_score_gemma":0.000022239,"domain_scores_codex":[0.9988458,0.00007605025,0.0001962602,0.0003021714,0.0003894221,0.0001902971],"domain_scores_gemma":[0.9993405,0.00001111949,0.00002435992,0.0004530823,0.00004906832,0.0001218664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003932217,0.00007315511,0.9753734,0.0002711193,0.0003935326,0.00007985147,0.00003554962,0.001895895,0.0004467278,0.0005107095,0.00002519227,0.02085548],"study_design_scores_gemma":[0.001473026,0.00000803947,0.9922088,0.00006680707,0.0002256899,0.00002025496,0.00002343796,0.00240267,0.00005691237,0.0004941782,0.002909081,0.0001110625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771765,0.01997169,0.001063198,0.0001618102,0.00005819998,0.0005702755,0.000002171577,0.00005060734,0.000945574],"genre_scores_gemma":[0.9993148,0.0001707428,0.0001721896,0.00003025885,0.0001814813,0.00003167524,0.00007073305,0.0000187031,0.000009353813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213839,"threshold_uncertainty_score":0.427387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070778247733023,"score_gpt":0.2248941570753525,"score_spread":0.2141863745980223,"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."}}