{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074933,0.0004793548,0.0006970504,0.0001023845,0.0006017617,0.0003542914,0.002799419,0.0002459104,0.0001067756],"category_scores_gemma":[0.3612856,0.0003708734,0.0004752195,0.0006746701,0.001224987,0.001440461,0.002292223,0.000718173,0.000435673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140382,"about_ca_system_score_gemma":0.0008199624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007765985,"about_ca_topic_score_gemma":0.000202813,"domain_scores_codex":[0.9887004,0.002635788,0.002225555,0.003075565,0.002052651,0.001309989],"domain_scores_gemma":[0.9073318,0.08608172,0.0009838144,0.003728168,0.000544828,0.001329682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003951707,0.01676202,0.3508034,0.0000926678,0.0005251219,0.00009239045,0.00007250531,0.00009137723,0.003886742,0.01420802,0.4622118,0.1473022],"study_design_scores_gemma":[0.01001552,0.00175327,0.1274947,0.0001102415,0.0007482091,4.014425e-7,0.0006787448,0.004262502,0.002609079,0.1185699,0.7331656,0.0005917685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256959,0.0003009306,0.02068912,0.03224246,0.003017899,0.003444178,0.00904963,0.0002710878,0.005288794],"genre_scores_gemma":[0.9510615,0.003296626,0.006362427,0.03512531,0.001733494,0.0002679774,0.0003055976,0.0001340257,0.001713002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3537923,"threshold_uncertainty_score":0.9998743,"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."}}