{"id":"W2187060650","doi":"10.3389/fnhum.2015.00634","title":"Detection of Motor Changes in Huntington's Disease Using Dynamic Causal Modeling","year":2015,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Albert-Ludwigs-Universität Freiburg; Deutsche Forschungsgemeinschaft; Medical Research Council; Cure Huntington's Disease Initiative; CHDI Foundation","keywords":"Supplementary motor area; Premotor cortex; Neuroscience; Functional magnetic resonance imaging; Huntington's disease; Putamen; SMA*; Primary motor cortex; Psychology; Motor cortex; Neuroimaging; Posterior parietal cortex; Medicine; Disease; Pathology; Dorsum; Computer science; Anatomy","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":[0.0003731092,0.0002944834,0.0001973233,0.0005624536,0.0001355235,0.0002235073,0.0001550016,0.0001937255,0.0003317091],"category_scores_gemma":[0.001628746,0.0001557039,0.0001825199,0.0002112391,0.0002170704,0.0002283133,0.000305843,0.0001506504,0.00002393985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002698731,"about_ca_system_score_gemma":0.0001627131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018675,"about_ca_topic_score_gemma":0.005365362,"domain_scores_codex":[0.9998819,0.00004288601,0.000007291369,0.00003726421,0.00001935069,0.00001143413],"domain_scores_gemma":[0.999571,0.00023428,0.0001107833,0.00003556989,0.00001946306,0.00002882299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002704376,0.0003307697,0.6418469,0.0001821715,0.0006515209,0.0009889738,0.00105608,0.07279257,0.1483465,0.002127392,0.000305651,0.1286671],"study_design_scores_gemma":[0.00004230924,0.0004990929,0.838325,0.0000124556,0.000118078,0.0008763925,0.0001561005,0.1478511,0.007968006,0.003644091,0.0004723682,0.00003492346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946527,0.00007506557,0.005041437,0.00001388324,6.211881e-7,0.000009227531,0.00003516883,0.00001597238,0.0001557534],"genre_scores_gemma":[0.9972461,0.00003139129,0.002598291,0.000003488406,0.00000119161,0.000005519637,0.00007013157,0.000001904239,0.00004200955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003018675,"threshold_uncertainty_score":0.006002188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06274534231349477,"score_gpt":0.2984616328704609,"score_spread":0.2357162905569661,"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."}}