{"id":"W1901968134","doi":"10.1093/nar/gkv585","title":"High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Tianjin Science and Technology Committee; Alberta Innovates; University of Alberta","keywords":"Biology; Computational biology; RNA; DNA; RNA-binding protein; Genetics; Intrinsically disordered proteins; Proteome; Caenorhabditis elegans; Structural genomics; DNA sequencing; Protein structure; Gene; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508018,0.00105177,0.0006480885,0.0009750159,0.0004802002,0.0005646669,0.0006253321,0.0005287041,0.001653523],"category_scores_gemma":[0.001163128,0.0004273222,0.0008107909,0.0005931036,0.0002260748,0.0004878325,0.0004409329,0.0004837059,0.0008580331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004232117,"about_ca_system_score_gemma":0.000820281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096167,"about_ca_topic_score_gemma":0.004075327,"domain_scores_codex":[0.9997841,0.00005155126,0.00001213648,0.00006793257,0.00006825155,0.00001596979],"domain_scores_gemma":[0.9995877,0.0002312636,0.00005122013,0.00004485224,0.00004825528,0.00003671866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002409619,0.0006246754,0.03438126,0.00134616,0.00063376,0.001000929,0.0001663644,0.3220904,0.4387059,0.005897738,0.02393611,0.1688073],"study_design_scores_gemma":[0.00006619495,0.0001008233,0.003505863,0.0000111938,0.00005377137,0.0001496988,0.00002991635,0.9434401,0.04865081,0.001563902,0.002408858,0.00001886872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.581302,0.0008186371,0.3685656,0.000244667,0.0000485226,0.000149385,0.01123675,0.03463133,0.003003084],"genre_scores_gemma":[0.6021646,0.0003820335,0.3608619,0.00009222421,0.00001926547,0.0002106074,0.03239543,0.001427654,0.002446263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002096167,"threshold_uncertainty_score":0.005531609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831011072520205,"score_gpt":0.2947485841418959,"score_spread":0.2564384734166938,"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."}}