{"id":"W2159062914","doi":"10.1161/strokeaha.109.570523","title":"Advances in Genomic Analysis of Stroke","year":2010,"lang":"en","type":"review","venue":"Stroke","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Genome-wide association study; Mendelian randomization; Genetic association; Medicine; Context (archaeology); Genomics; Stroke (engine); Candidate gene; Computational biology; Bioinformatics; Genetics; Genome; Single-nucleotide polymorphism; Biology; Gene; Genetic variants","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344861,0.000222721,0.001383188,0.0003379843,0.0000209953,0.000004267002,0.0002895088,0.0005766231,0.00003932367],"category_scores_gemma":[0.0001509823,0.0001958349,0.0007162485,0.0002656378,0.0000664018,0.000001232894,0.0001024643,0.0002417054,0.000007060687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167529,"about_ca_system_score_gemma":0.0001501734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002412757,"about_ca_topic_score_gemma":0.0006836987,"domain_scores_codex":[0.9985178,0.0001535712,0.0006227957,0.0003818729,0.00007332951,0.0002506087],"domain_scores_gemma":[0.9989135,0.00005635558,0.0004808961,0.0004610117,0.00004261431,0.00004563672],"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":[0.000004189239,0.00003921712,0.007263535,0.0004669385,0.0008139382,8.692255e-7,0.000007190932,0.00007142242,0.0004570801,0.00004457357,0.00007687063,0.9907542],"study_design_scores_gemma":[0.00008667066,0.0000514243,0.001676273,0.00007244584,0.001383076,0.000001170369,0.000009723592,0.00001092694,0.00001121469,0.000009731224,0.9965199,0.0001673954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003336918,0.9931437,0.0001556366,0.000004852992,0.0001604192,0.0001784307,0.000565867,0.000002821992,0.002451346],"genre_scores_gemma":[0.001429736,0.995935,0.0008026823,0.00001286066,0.0001176885,0.00004106215,0.0007571557,0.00001938707,0.0008844277],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9964431,"threshold_uncertainty_score":0.7985914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672220230814369,"score_gpt":0.3275065769866436,"score_spread":0.3107843746784999,"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."}}