{"id":"W2763762406","doi":"10.1007/s12031-017-0984-z","title":"Role of Dynein Axonemal Heavy Chain 6 Gene Expression as a Possible Biomarker for Huntington’s Disease: a Translational Study","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Neuroscience","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Huntington Society of Canada","keywords":"Dynein; Huntingtin; Biology; Huntington's disease; Gene; Biomarker; Gene expression; Genetics; Disease; Microtubule; Pathology; Medicine","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":[0.0008609408,0.0003299652,0.0003671094,0.0004211331,0.000235041,0.0005004907,0.0002808705,0.0003922307,0.0008789264],"category_scores_gemma":[0.000427111,0.00009237249,0.0002539241,0.000346591,0.0008487304,0.0004742287,0.0002340747,0.0003488915,0.0001333934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942642,"about_ca_system_score_gemma":0.0004173707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003855957,"about_ca_topic_score_gemma":0.0003504777,"domain_scores_codex":[0.999907,0.00003058584,0.000008698463,0.00002384519,0.00001397448,0.00001595032],"domain_scores_gemma":[0.9996767,0.00009746284,0.00007246734,0.00002907571,0.00007656633,0.00004780343],"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":[0.009125906,0.001587932,0.2058406,0.0009222053,0.0003561273,0.002422219,0.0004371838,0.000449522,0.6802683,0.00241888,0.0007299078,0.09544127],"study_design_scores_gemma":[0.0006090243,0.01471257,0.8071952,0.00024883,0.001419052,0.005149222,0.001855244,0.00408176,0.1493658,0.004934492,0.01036554,0.00006325375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816799,0.01479626,0.001242506,0.0004956515,0.0000746078,0.00005014551,0.0001661503,0.000007732127,0.001487016],"genre_scores_gemma":[0.991874,0.00540801,0.001122665,0.0001808169,0.0001304391,0.0000340133,0.0002435266,0.00000359232,0.00100288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008789264,"threshold_uncertainty_score":0.004553139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382213405176507,"score_gpt":0.3167533001163033,"score_spread":0.2829311660645383,"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."}}