{"id":"W2201678162","doi":"10.7554/elife.10365","title":"Unravelling druggable signalling networks that control F508del-CFTR proteostasis","year":2015,"lang":"en","type":"article","venue":"eLife","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Sapienza Università di Roma; Canadian Institutes of Health Research; Fondazione per la Ricerca sulla Fibrosi Cistica; Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della Salute; Associazione Italiana per la Ricerca sul Cancro; Fondazione Telethon; Institute of Genetics; Canada Foundation for Innovation; Cystic Fibrosis Canada","keywords":"Proteostasis; Druggability; Biology; Computational biology; Signalling; Cell biology; Bioinformatics; Chemistry; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009425429,0.0002055182,0.0004230043,0.0001148472,0.0001109358,0.00007288014,0.000167038,0.0001036956,0.0001579983],"category_scores_gemma":[0.0007807545,0.0001714926,0.0001022002,0.0002777377,0.0001001838,0.0001730514,0.00005802708,0.0004140107,0.0002051371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599618,"about_ca_system_score_gemma":0.0002870917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091745,"about_ca_topic_score_gemma":0.00001199655,"domain_scores_codex":[0.9975545,0.00009078746,0.000304664,0.0003646889,0.001023417,0.0006619465],"domain_scores_gemma":[0.9982661,0.0002782086,0.0001004891,0.0003441507,0.0003700354,0.0006410026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01634713,0.001884668,0.1515877,0.001401566,0.002023993,0.001928674,0.003994034,0.4260721,0.08944853,0.001722599,0.1686564,0.1349326],"study_design_scores_gemma":[0.01797113,0.002119674,0.003643814,0.001523829,0.0003401748,0.0001846905,0.001891848,0.6245812,0.1031049,0.0007157561,0.2427497,0.001173239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1805985,0.01940759,0.7794263,0.00428162,0.000848441,0.004208491,0.00004059264,0.0006615231,0.010527],"genre_scores_gemma":[0.9836726,0.0001469002,0.01317853,0.0007656921,0.0007289141,0.0001042788,0.00002807095,0.0000510685,0.001323962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8030741,"threshold_uncertainty_score":0.6993265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05107623620226348,"score_gpt":0.311775485637785,"score_spread":0.2606992494355215,"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."}}