{"id":"W2897312140","doi":"10.1177/2396987318805905","title":"Small vessel disease and biomarkers of endothelial dysfunction after ischaemic stroke","year":2018,"lang":"en","type":"article","venue":"European Stroke Journal","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Ministero della Salute; Ente Cassa di Risparmio di Firenze","keywords":"Endothelial dysfunction; Von Willebrand factor; Medicine; Leukoaraiosis; Pathogenesis; Vascular disease; Internal medicine; Stroke (engine); Endothelium; Cardiology; Disease; Pathology; Platelet","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":[0.0006420886,0.0003649778,0.0005330883,0.0008755436,0.0001264678,0.0005397054,0.0001974307,0.0002802935,0.001379573],"category_scores_gemma":[0.001815811,0.0001154637,0.0001996817,0.001042098,0.0002090861,0.0002805344,0.0002266482,0.0003191318,0.0001939051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283911,"about_ca_system_score_gemma":0.0001880725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000436551,"about_ca_topic_score_gemma":0.0005944116,"domain_scores_codex":[0.9997051,0.00009887508,0.00004177338,0.00006317399,0.00006261198,0.00002841068],"domain_scores_gemma":[0.9979329,0.0003740567,0.001260277,0.00005401097,0.0001720639,0.0002066777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004859682,0.00004535071,0.9902948,0.0001206973,0.0002385119,0.0001360387,0.0000444805,0.000119957,0.001077044,0.00002352375,0.0001154496,0.007298157],"study_design_scores_gemma":[0.000009552142,0.0002693913,0.9981738,0.00002194267,0.0000924609,0.0005768813,0.00002884519,0.0001514862,0.0003739979,0.00007647149,0.0002186692,0.000006493224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943154,0.004529988,0.0002683156,0.00008086841,0.00001552383,0.00001133345,0.0003365031,0.000008756823,0.0004331911],"genre_scores_gemma":[0.9983318,0.000902611,0.0002722903,0.00002995283,0.00003838017,0.000008764452,0.0002610791,0.000001275619,0.0001538697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001379573,"threshold_uncertainty_score":0.004615128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212579169214013,"score_gpt":0.2240225665603184,"score_spread":0.2118967748681783,"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."}}