{"id":"W2891374052","doi":"10.1007/s00415-018-9022-5","title":"Platelet-derived extracellular vesicles in Huntington’s disease","year":2018,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre de Recherche Industrielle du Québec; Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Platelet; Biomarker; Huntington's disease; Huntingtin; Disease; Cohort; Extracellular; Huntingtin Protein; Pathological; Neurology; Psychology; Internal medicine; Neuroscience; Immunology; Biology; Medicine; Cell biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001797639,0.0001545113,0.0002478927,0.0002607657,0.0000774932,0.00003220851,0.0004043389,0.00004974413,0.0001472463],"category_scores_gemma":[0.001440512,0.0001383928,0.0001036045,0.0002291387,0.0003166637,0.0001504486,0.00008407701,0.0003055359,0.00006095068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078674,"about_ca_system_score_gemma":0.0001143109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001816846,"about_ca_topic_score_gemma":0.000006538984,"domain_scores_codex":[0.9980717,0.0004936996,0.0005082344,0.0003112717,0.0002751146,0.0003400357],"domain_scores_gemma":[0.9988191,0.0002716824,0.000353236,0.0002251299,0.00009961824,0.0002312692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005319727,0.0001707335,0.01038865,0.000005623112,0.000002279698,0.0008156278,0.00009355569,0.0001769358,0.9864544,0.000164697,0.0002994371,0.0008960894],"study_design_scores_gemma":[0.000810112,0.0007606357,0.1326366,0.000007527623,0.00001121837,0.000126455,0.00000671919,0.0002599647,0.8613205,0.0009773388,0.00297201,0.0001108985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964579,0.000123609,0.00008921987,0.002359076,0.0007318457,0.0001038665,0.000004192997,0.00001383208,0.0001164005],"genre_scores_gemma":[0.9960917,0.00005449142,0.00008156813,0.003284791,0.0004194684,0.000002513672,1.846216e-7,0.00002413869,0.00004119867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251339,"threshold_uncertainty_score":0.5643495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846221702158733,"score_gpt":0.2693927974850394,"score_spread":0.240930580463452,"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."}}