{"id":"W1993788157","doi":"10.1515/cclm.2007.261","title":"Application of leukocyte transcriptomes to assess systemic consequences of risk factors for cardiovascular disease","year":2007,"lang":"en","type":"review","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Disease; Context (archaeology); Population; Medicine; Computational biology; Bioinformatics; Risk analysis (engineering); Immunology; Biology; Pathology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001512339,0.0004336372,0.002127037,0.00004122509,0.00005673179,0.000006190586,0.0003662724,0.0006760977,0.000005071612],"category_scores_gemma":[0.001417419,0.0003348069,0.0009528217,0.0002370604,0.0007605094,0.000004181247,0.00003400348,0.0002994402,3.651921e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001956249,"about_ca_system_score_gemma":0.0004822199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002533446,"about_ca_topic_score_gemma":0.000001524689,"domain_scores_codex":[0.9970198,0.0001999125,0.001509648,0.0007577254,0.0002708076,0.0002421112],"domain_scores_gemma":[0.9973043,0.0005314095,0.0006233091,0.0007487112,0.0003854799,0.000406758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001698267,0.0009362776,0.01209045,0.2424887,0.01011977,0.00002511219,0.0002968863,0.0001074026,0.1328573,0.00009894305,0.001342392,0.5979385],"study_design_scores_gemma":[0.001323529,0.0003615229,0.00008944435,0.005597787,0.005771963,0.000006786699,0.0001845846,0.000006529925,0.02071602,0.00002021299,0.9653243,0.0005972873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04155792,0.9476173,0.008473735,0.000007709205,0.0002775001,0.000820922,0.001205349,0.00001323805,0.00002635015],"genre_scores_gemma":[0.07523092,0.9229512,0.0001770556,0.00002939396,0.0007315683,0.00008424656,0.0007174278,0.000049002,0.0000292302],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9639819,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080546646351361,"score_gpt":0.383431010203135,"score_spread":0.2753763455679989,"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."}}