{"id":"W2755591022","doi":"10.1002/mds.27122","title":"Design optimization for clinical trials in early‐stage manifest Huntington's disease","year":2017,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust; Medical Research Council; University College London Hospitals NHS Foundation Trust; National Institute for Health and Care Research; CHDI Foundation","keywords":"Sample size determination; Covariate; Observational study; Clinical trial; Randomization; Randomized controlled trial; Interim; Outcome (game theory); Interim analysis; Research design; Generalizability theory; Medicine; Statistics; Psychology; Physical therapy; Internal medicine; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.002075454,0.0002018199,0.0003581653,0.00008915978,0.0004132904,0.0002982056,0.0005168534,0.00004615276,0.00009683921],"category_scores_gemma":[0.01584967,0.0001961423,0.000212024,0.00005935235,0.0001594807,0.0002368639,0.0001273862,0.00008517095,0.00001401536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002634292,"about_ca_system_score_gemma":0.00008342999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003825146,"about_ca_topic_score_gemma":0.00003157031,"domain_scores_codex":[0.9968474,0.001090719,0.0007468927,0.0006846002,0.000276503,0.0003538647],"domain_scores_gemma":[0.9974166,0.001171716,0.0005364427,0.0006661971,0.00003235518,0.0001767402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002139609,0.003025281,0.6311726,0.0001673973,0.00003881151,0.00002327694,0.0002720095,0.3187906,0.02233357,0.004397173,0.005565501,0.01207419],"study_design_scores_gemma":[0.01142996,0.000723513,0.6622874,0.00008831934,0.0001513843,1.778463e-8,0.0001386989,0.1669373,0.1369994,0.01906397,0.001047417,0.00113269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787876,0.00002575178,0.1146023,0.00252968,0.000645585,0.002942922,0.00009235751,0.00005293095,0.0003208802],"genre_scores_gemma":[0.9932632,0.000330421,0.002042267,0.00312183,0.00008586408,0.0004651271,0.000009983848,0.00004185788,0.000639424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518533,"threshold_uncertainty_score":0.9924402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181434294801863,"score_gpt":0.4225772042398251,"score_spread":0.2044337747596388,"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."}}