{"id":"W4368357625","doi":"10.1093/nar/gkad330","title":"DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Science Foundation","keywords":"Biology; Function (biology); Computational biology; Genetics","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":[0.00200907,0.005439262,0.002234908,0.004288697,0.0009532747,0.002613473,0.004143964,0.001849593,0.06225798],"category_scores_gemma":[0.004734075,0.001616695,0.001570838,0.00303214,0.0003525825,0.003500661,0.003284967,0.002928785,0.05291591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081346,"about_ca_system_score_gemma":0.001345033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002805664,"about_ca_topic_score_gemma":0.003590454,"domain_scores_codex":[0.9990188,0.0001496757,0.00009116402,0.0002768552,0.0003540697,0.0001095055],"domain_scores_gemma":[0.9984996,0.0006259827,0.0001456787,0.0002996846,0.0002561674,0.0001728727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009495671,0.0001729488,0.002989158,0.001993766,0.0003533725,0.0004970031,0.0001731454,0.003084496,0.01120785,0.0031157,0.9467104,0.02875262],"study_design_scores_gemma":[0.001286109,0.000359057,0.01436516,0.00104739,0.0004496173,0.0019878,0.0002797606,0.1370558,0.0536142,0.03008776,0.758759,0.0007083399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.007980849,0.001741243,0.04954388,0.0005118922,0.0003370572,0.0002035857,0.4188235,0.5132116,0.007646377],"genre_scores_gemma":[0.03015118,0.001618467,0.06644293,0.0006281632,0.0001459738,0.001077703,0.8327928,0.05982111,0.007321708],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06225798,"threshold_uncertainty_score":0.2082736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124702638670713,"score_gpt":0.3301333404549639,"score_spread":0.2988863140682568,"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."}}