{"id":"W4412493024","doi":"10.1126/science.adz5035","title":"Disorder meets its match","year":2025,"lang":"en","type":"article","venue":"Science","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Intrinsically disordered proteins; Computational biology; Computer science; Biology; Biophysics","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":[0.0004705402,0.0003655229,0.0008791568,0.0002760479,0.0008584514,0.001139788,0.0004595799,0.0008124335,0.01235248],"category_scores_gemma":[0.001867858,0.0002742619,0.0003214795,0.0002318778,0.0006615228,0.001497305,0.001388441,0.001242905,0.003794531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297059,"about_ca_system_score_gemma":0.0007221765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004417177,"about_ca_topic_score_gemma":0.0005608842,"domain_scores_codex":[0.9995106,0.00006461342,0.00003153894,0.0001276667,0.0001535739,0.0001119358],"domain_scores_gemma":[0.9991608,0.0001780227,0.00008604559,0.0002110013,0.0001106977,0.0002535836],"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":[0.003601629,0.0004582505,0.009801631,0.0007311095,0.000128729,0.001673979,0.0004251398,0.008366822,0.6047226,0.218935,0.02980111,0.121354],"study_design_scores_gemma":[0.0005795856,0.002250905,0.00728523,0.0001055308,0.0001551264,0.006231744,0.001077194,0.06849877,0.4642156,0.2263652,0.2230444,0.0001908168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7743022,0.002462994,0.1446004,0.005725073,0.00244578,0.0002863882,0.001622624,0.004697464,0.06385703],"genre_scores_gemma":[0.9681579,0.0003689079,0.01918408,0.001381278,0.00009102609,0.00007584604,0.0007419874,0.0003294649,0.009669614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235248,"threshold_uncertainty_score":0.04132324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007168461573598382,"score_gpt":0.3110647639296053,"score_spread":0.3038963023560069,"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."}}