{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546294,0.0002243522,0.0002322318,0.0006112637,0.0003390772,0.0005247641,0.0001982982,0.00111706,0.0007589459],"category_scores_gemma":[0.0002692693,0.0001234918,0.000171974,0.000252539,0.0003804316,0.0005895253,0.0005021007,0.0004292633,0.0001466674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910591,"about_ca_system_score_gemma":0.0001568832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006284359,"about_ca_topic_score_gemma":0.000558785,"domain_scores_codex":[0.9999326,0.00001954511,0.0000130861,0.000008416016,0.0000132545,0.00001305934],"domain_scores_gemma":[0.9999233,0.00002106276,0.00002054861,0.000004336039,0.0000131251,0.00001764762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01202165,0.0004176122,0.127841,0.002085234,0.0007851189,0.1477651,0.003364204,0.003062377,0.4820448,0.04122461,0.01068442,0.1687039],"study_design_scores_gemma":[0.000685138,0.002752609,0.4620493,0.001270284,0.001287432,0.2332476,0.00455494,0.008930093,0.1534439,0.06127198,0.07033759,0.0001691168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180873,0.07486875,0.0005543859,0.001513227,0.0003125072,0.00001305878,0.0000990561,0.00001137218,0.004540282],"genre_scores_gemma":[0.9886698,0.009501371,0.0002145334,0.0001127177,0.0001630804,0.000004838253,0.0001101001,0.000002796496,0.001220721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111706,"threshold_uncertainty_score":0.002538919,"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."}}