{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009362137,0.0002694766,0.000216399,0.0001728723,0.0001726107,0.0003125505,0.0002271375,0.0002801242,0.002460477],"category_scores_gemma":[0.0001198886,0.0001457443,0.0001880266,0.0001178684,0.000251951,0.0001165097,0.0002102577,0.0005378538,0.001214864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072253,"about_ca_system_score_gemma":0.0001547656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008853403,"about_ca_topic_score_gemma":0.001112764,"domain_scores_codex":[0.9998777,0.000018813,0.00001044968,0.00002611697,0.00004693935,0.00001996238],"domain_scores_gemma":[0.9998859,0.00003563227,0.00002985376,0.00001409446,0.000006851542,0.00002771619],"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":[0.00002770031,0.000006482037,0.00004065544,0.000006164969,0.000001681031,0.0000378146,0.000003026274,0.00003054692,0.9995294,0.00006277476,0.00003140108,0.0002224771],"study_design_scores_gemma":[0.000007962027,0.00001761779,0.001949116,0.000001980809,0.000002319505,0.0001418011,0.000005206211,0.00104343,0.9955266,0.00003502805,0.001266401,0.000002415499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886785,0.0009300661,0.005852767,0.0002172021,0.0000407448,0.00001804257,0.001433862,0.0002209142,0.00260776],"genre_scores_gemma":[0.9892924,0.0002526578,0.002751389,0.00007108751,0.00001191584,0.0000190613,0.001979235,0.0001262568,0.005496066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002460477,"threshold_uncertainty_score":0.008231103,"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."}}