{"id":"W2519327113","doi":"10.1093/hmg/ddw303","title":"Targeting TEAD/YAP-transcription-dependent necrosis, TRIAD, ameliorates Huntington’s disease pathology","year":2016,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Committee for Ataxic Disease; Alberta Innovates; Foundation of Synapse and Neurocircuit Pathology; Ministry of Health, Labour and Welfare; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Institute of Molecular and Cell Biology; Tokyo Medical and Dental University; Core Research for Evolutional Science and Technology; Massachusetts General Hospital","keywords":"Biology; Necroptosis; Cell biology; Programmed cell death; Cancer research; Hippo signaling pathway; Transcription factor; Huntingtin; Necrosis; Endoplasmic reticulum; Huntingtin Protein; Signal transduction; Mutant; Apoptosis; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002006537,0.00045486,0.0003249659,0.0001895957,0.0004205721,0.0001626365,0.0006606082,0.0001035475,0.0003446234],"category_scores_gemma":[0.0007707299,0.0003819436,0.0002211199,0.0002421728,0.0003880159,0.00009292946,0.000214785,0.000163942,0.0002659971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005636521,"about_ca_system_score_gemma":0.0001144191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004136032,"about_ca_topic_score_gemma":0.00000480586,"domain_scores_codex":[0.9960721,0.0006968119,0.0005931403,0.001229776,0.0006333666,0.0007748525],"domain_scores_gemma":[0.9982036,0.0001198212,0.0002276359,0.0008443845,0.0001535147,0.0004510061],"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":[0.00003833924,0.0001800227,0.002623282,0.00002014714,0.000007913509,0.0001493157,0.00009303482,0.0004003989,0.9943206,0.001099091,0.0003979659,0.0006698863],"study_design_scores_gemma":[0.001129777,0.0001548232,0.01189437,0.00003473099,0.00008336222,0.000005289069,0.00002397792,0.00005190715,0.9811855,0.003936923,0.0009784212,0.0005209512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901884,0.0006923591,0.007050035,0.0004829042,0.000417482,0.0005966898,0.0001405043,0.0001814373,0.0002502146],"genre_scores_gemma":[0.9964762,0.0002950891,0.0006086237,0.001543097,0.0001675803,0.0001203317,0.00001842581,0.0001177449,0.0006529576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313513,"threshold_uncertainty_score":0.9998633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528746723983966,"score_gpt":0.2717831173686581,"score_spread":0.2464956501288185,"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."}}