{"id":"W2007568107","doi":"10.1016/j.neuron.2014.07.041","title":"Discovery of a Biomarker and Lead Small Molecules to Target r(GGGGCC)-Associated Defects in c9FTD/ALS","year":2014,"lang":"en","type":"article","venue":"Neuron","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":361,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health","keywords":"Biomarker; Lead (geology); Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004976917,0.001013668,0.0009813701,0.0006581126,0.0003679263,0.0007701365,0.0005433796,0.001064616,0.002151906],"category_scores_gemma":[0.0005086467,0.0003374114,0.000632701,0.0003291455,0.0002938837,0.0004017745,0.0003760752,0.001087042,0.0006236409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008778183,"about_ca_system_score_gemma":0.000703317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009580805,"about_ca_topic_score_gemma":0.002536471,"domain_scores_codex":[0.9998143,0.00002842955,0.00001637526,0.00003947843,0.00005413308,0.00004737051],"domain_scores_gemma":[0.9998558,0.00003045133,0.00003517493,0.000008609891,0.0000335352,0.00003649924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001435221,0.0007099789,0.001594598,0.000378657,0.0001313354,0.001455767,0.00006916583,0.003216358,0.9307965,0.001733885,0.003274505,0.05520399],"study_design_scores_gemma":[0.001205271,0.005637057,0.002947472,0.00009763028,0.0001928737,0.001305882,0.00007501367,0.008640422,0.9644485,0.0009050377,0.01448819,0.00005667991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159491,0.01822989,0.04542818,0.004810462,0.001022724,0.001782479,0.003008336,0.001543089,0.008225848],"genre_scores_gemma":[0.9547549,0.006019031,0.0306059,0.001060059,0.00009600375,0.0005179219,0.001879324,0.00006578417,0.005001059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002151906,"threshold_uncertainty_score":0.00719887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118080631707669,"score_gpt":0.2826290620530278,"score_spread":0.2514482557359511,"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."}}