{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001599134,0.0001745292,0.0002560086,0.00008132023,0.0004346987,0.0002334794,0.0002522314,0.0001277939,0.0001456814],"category_scores_gemma":[0.0002202536,0.0001573818,0.00007939306,0.00008891064,0.00007317305,0.0001739326,0.0001368034,0.0002649705,0.0002742814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006175182,"about_ca_system_score_gemma":0.00009140736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001127911,"about_ca_topic_score_gemma":0.000005780043,"domain_scores_codex":[0.9984471,0.0001023581,0.0002263069,0.0004170124,0.0004685069,0.0003387046],"domain_scores_gemma":[0.9984959,0.00002021969,0.0001438705,0.0009704402,0.0001721143,0.0001973909],"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":[0.00003010316,0.00007162531,0.01116745,0.00005178142,0.00002764787,0.0001244752,0.00001912962,0.0004441346,0.9856212,0.0004615525,0.00135402,0.0006268676],"study_design_scores_gemma":[0.001577335,0.0003748759,0.4122247,0.00007543946,0.0001788329,0.00001192173,0.000003263606,0.004011173,0.5760742,0.0003899284,0.0047672,0.0003110594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855335,0.00010598,0.003966005,0.003761538,0.0001762863,0.0004031142,0.00001084372,0.00007250582,0.005970199],"genre_scores_gemma":[0.993724,0.00002731213,0.00252201,0.0005495709,0.0003793097,0.00002921496,0.00006883092,0.00005061416,0.002649084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4095469,"threshold_uncertainty_score":0.6417843,"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."}}