{"id":"W2585537956","doi":"10.1186/s13024-016-0144-x","title":"Tdp-43 cryptic exons are highly variable between cell types","year":2017,"lang":"en","type":"article","venue":"Molecular Neurodegeneration","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Robert Packard Center for ALS Research, Johns Hopkins University; Target ALS; National Institute on Aging; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; School of Medicine, New York University; National Institutes of Health; McKnight Foundation; York University; Johns Hopkins University; ALS Association; U.S. Department of Defense; Korea Brain Research Institute","keywords":"Biology; Exon; Amyotrophic lateral sclerosis; Cell type; Genetics; Neuroscience; Gene; Cell; Disease; Pathology; Medicine","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":[0.0002922406,0.0001989878,0.0002652763,0.0005134707,0.0002000356,0.0004073801,0.0002765146,0.0002505503,0.001707224],"category_scores_gemma":[0.000434156,0.0001363641,0.0002341309,0.0003047263,0.0003381212,0.0002049017,0.0002511794,0.0003169487,0.000503492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914501,"about_ca_system_score_gemma":0.0001700041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002840948,"about_ca_topic_score_gemma":0.0005663618,"domain_scores_codex":[0.9997194,0.00002106268,0.00003374253,0.0001200398,0.00007388753,0.00003182163],"domain_scores_gemma":[0.9991367,0.0002777773,0.0002749291,0.0001213888,0.0001005512,0.00008874325],"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":[0.0001148743,0.00001173918,0.004536512,0.00003672406,0.0000210194,0.0001686224,0.0000433991,0.00006826836,0.9921108,0.0002222223,0.00002332505,0.002642534],"study_design_scores_gemma":[0.0000261589,0.0002529453,0.1729011,0.00004974822,0.0001542662,0.005867111,0.0001308442,0.001423068,0.8095885,0.001257886,0.008327438,0.00002098974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888509,0.001264315,0.007789248,0.00002488806,0.000013089,0.00001743738,0.0006394374,0.00009638956,0.00130437],"genre_scores_gemma":[0.9940267,0.000383687,0.003612912,0.00003228831,0.000004617782,0.00002617279,0.001037598,0.00003880651,0.0008371776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707224,"threshold_uncertainty_score":0.005711257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338476061624711,"score_gpt":0.2880792523329575,"score_spread":0.2542316461704864,"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."}}