{"id":"W2466242214","doi":"10.1002/mdc3.12388","title":"Data Analytics from Enroll‐<scp>HD</scp>, a Global Clinical Research Platform for Huntington's Disease","year":2016,"lang":"en","type":"article","venue":"Movement Disorders Clinical Practice","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Allergan; Ipsen; H. Lundbeck A/S; GlaxoSmithKline; Deutsche Forschungsgemeinschaft; European Commission; Ionis Pharmaceuticals; Bundesministerium für Bildung und Forschung; Teva Pharmaceutical Industries; Biogen; International Parkinson and Movement Disorder Society; CHDI Foundation","keywords":"Huntington's disease; Disease; Analytics; Psychology; Research data; Medicine; Neuroscience; Data science; Computer science; Internal medicine","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":[0.005255258,0.0006591546,0.0004901005,0.00185533,0.0006119022,0.001580465,0.0008459529,0.0007320958,0.006179513],"category_scores_gemma":[0.01978934,0.0002577085,0.0006245769,0.001997866,0.0003275081,0.0008359135,0.002216172,0.0008585852,0.002689285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870604,"about_ca_system_score_gemma":0.002568122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008989192,"about_ca_topic_score_gemma":0.0102048,"domain_scores_codex":[0.9968284,0.0009991463,0.000544548,0.0007240528,0.0007274928,0.0001762858],"domain_scores_gemma":[0.9890619,0.00511942,0.001220237,0.001826738,0.001908423,0.0008633408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01178658,0.001262669,0.3336025,0.004093272,0.001362756,0.002037181,0.003363185,0.008102308,0.01455663,0.006767743,0.4436309,0.1694344],"study_design_scores_gemma":[0.002794531,0.002023961,0.5203838,0.001044983,0.0007026593,0.001633494,0.002600012,0.03835313,0.01573765,0.01114007,0.4032922,0.0002936176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1498698,0.0009482091,0.01484857,0.002570479,0.0001468092,0.001563606,0.8152282,0.008773596,0.006050696],"genre_scores_gemma":[0.2059166,0.0003863939,0.02215152,0.0006405716,0.0000757905,0.00272516,0.7660372,0.0005633091,0.001503318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008989192,"threshold_uncertainty_score":0.02779275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3470128922815036,"score_gpt":0.505469024411892,"score_spread":0.1584561321303884,"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."}}