{"id":"W2952190962","doi":"10.1101/679381","title":"HTT is a repressor of ABL activity required for APP induced axonal growth","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Institute of Neurological Disorders and Stroke; Centre National de la Recherche Scientifique; CHDI Foundation; Agence Nationale de la Recherche; Fondation pour la Recherche Médicale; National Institutes of Health; Science Foundation Ireland; Ministère de l'Enseignement Supérieur et de la Recherche; Association pour la Recherche sur le Cancer","keywords":"Cell biology; Huntingtin; ABL; Axon; Amyloid precursor protein; Biology; Phenotype; Repressor; Tyrosine kinase; Signal transduction; Gene expression; Genetics; Gene; Alzheimer's disease; Mutant","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004817224,0.0005457722,0.0006407382,0.0001798818,0.0001039358,0.00007910287,0.0007112212,0.001032612,0.00003742644],"category_scores_gemma":[0.0006112069,0.0006201189,0.0004209366,0.0001948488,0.000110757,0.00001974623,0.0006063571,0.0005387476,0.00002530422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011646,"about_ca_system_score_gemma":0.000730862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022849,"about_ca_topic_score_gemma":0.000003142747,"domain_scores_codex":[0.9971308,0.0001280477,0.0005529823,0.001369816,0.0003104823,0.0005079419],"domain_scores_gemma":[0.9959186,0.0000596456,0.0008115902,0.001995908,0.001042442,0.0001717615],"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":[0.0003003462,0.0002068352,0.00126397,0.0005494634,0.0004150214,0.000002369119,0.000007364688,0.00001830038,0.9952675,0.0000846129,0.001881282,0.000003006941],"study_design_scores_gemma":[0.0007323409,0.0002200267,0.01078001,0.0002396675,0.0001173717,3.321405e-8,0.000001622906,0.0001482452,0.9804849,0.000005032527,0.006655048,0.0006157108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894463,0.0003508154,0.005700539,0.0002524578,0.001249877,0.001816363,0.001060127,0.00008557682,0.00003797046],"genre_scores_gemma":[0.9930274,0.0001194512,0.005007954,0.0001818103,0.0006292163,0.0008217935,0.000003044182,0.0001511914,0.00005808183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478254,"threshold_uncertainty_score":0.999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149127070466086,"score_gpt":0.2574679788738654,"score_spread":0.2359767081692045,"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."}}