{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036746,0.0003887005,0.0005630793,0.0007234794,0.0002444562,0.0009582868,0.0002644997,0.0005836917,0.0008944009],"category_scores_gemma":[0.0009068689,0.0002059057,0.0005328188,0.0007739128,0.0003267232,0.0004933244,0.0005739746,0.0008584416,0.0006539489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950201,"about_ca_system_score_gemma":0.0003505079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003353797,"about_ca_topic_score_gemma":0.000386244,"domain_scores_codex":[0.9994306,0.0001835385,0.00003773723,0.0001690475,0.0001319792,0.0000470239],"domain_scores_gemma":[0.9996154,0.0001570069,0.00005708066,0.0000594862,0.00008686008,0.0000241176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002241152,0.00003666013,0.007581586,0.0007202229,0.00009112649,0.0001160923,0.0001812607,0.001085563,0.9479706,0.001142779,0.0007473957,0.04010274],"study_design_scores_gemma":[0.00005697625,0.001465398,0.2370052,0.0006376782,0.0006925729,0.001271223,0.001092043,0.01560154,0.6407119,0.008648785,0.09266888,0.0001477717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5899686,0.0645676,0.3086866,0.003162643,0.001395261,0.0004057201,0.0166702,0.0009798267,0.01416364],"genre_scores_gemma":[0.8138698,0.05182993,0.1168327,0.00166866,0.0004166704,0.0009995369,0.00902474,0.0001562423,0.005201811],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001036746,"threshold_uncertainty_score":0.005482912,"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."}}