{"id":"W2885244288","doi":"10.1002/prot.25590","title":"High‐throughput prediction of disordered moonlighting regions in protein sequences","year":2018,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Information and Intelligent Systems; National Science Foundation","keywords":"Computational biology; Biology; Intrinsically disordered proteins; Computer science; Evolutionary biology; Biochemistry","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":[0.001486444,0.000703453,0.0008060257,0.001183414,0.0004022942,0.0006275803,0.0005385641,0.0005512512,0.000584336],"category_scores_gemma":[0.002092417,0.0002807959,0.0009472051,0.000887813,0.0002340198,0.0005594456,0.0003776262,0.0006608085,0.0006654987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005563953,"about_ca_system_score_gemma":0.0006714161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002945104,"about_ca_topic_score_gemma":0.003829601,"domain_scores_codex":[0.9996694,0.0000832574,0.00002114572,0.00009147011,0.0000947774,0.00004003551],"domain_scores_gemma":[0.999108,0.0004451853,0.000164193,0.00007006277,0.0001410011,0.00007148041],"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":[0.002045311,0.0007923385,0.1267948,0.0008992862,0.0005165703,0.00146857,0.0003620769,0.3805529,0.3131273,0.002643863,0.01055707,0.1602399],"study_design_scores_gemma":[0.00002796643,0.0001336699,0.01269364,0.00001407147,0.00003789828,0.0002586128,0.0000411269,0.9507678,0.03392308,0.0008902445,0.001187895,0.00002404513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8470843,0.0006402874,0.1412658,0.000174305,0.0000224948,0.0001092472,0.005371508,0.004539021,0.0007931173],"genre_scores_gemma":[0.8489085,0.0003307053,0.1379172,0.00006419952,0.00001557957,0.0001167894,0.01176329,0.0002260004,0.0006577837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002945104,"threshold_uncertainty_score":0.007861197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006553211783393072,"score_gpt":0.2084426531185558,"score_spread":0.2018894413351627,"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."}}