{"id":"W4416888770","doi":"10.1093/bioinformatics/btaf647","title":"PICNIC web server for predicting proteins involved in biomolecular condensates","year":2025,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"H2020 European Research Council; NOMIS Stiftung; Max-Planck-Gesellschaft","keywords":"Picnic; Web server; Software; Clickstream; Server; The Internet","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":[0.001231392,0.001941606,0.001177473,0.002135627,0.000711648,0.001546364,0.002689933,0.001292055,0.02358663],"category_scores_gemma":[0.003874809,0.0006742785,0.0008964365,0.001844097,0.0003437723,0.001447387,0.001364905,0.001216273,0.02292217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016286,"about_ca_system_score_gemma":0.001779206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762429,"about_ca_topic_score_gemma":0.002152512,"domain_scores_codex":[0.9995204,0.00006977988,0.00004157237,0.0001520019,0.000158954,0.00005732781],"domain_scores_gemma":[0.9989219,0.0003177553,0.0001078184,0.0001745222,0.0002973842,0.0001808077],"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":[0.00247992,0.0004346277,0.01406343,0.002435158,0.0003225377,0.0005918231,0.0001692416,0.01669898,0.01957789,0.006838957,0.8403875,0.09599987],"study_design_scores_gemma":[0.00107031,0.0004870959,0.02010736,0.000431101,0.0003328593,0.001662462,0.0001689089,0.5686747,0.05473888,0.02167686,0.3304043,0.0002450388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.05035318,0.002439198,0.1419088,0.001077386,0.0005344589,0.0009167442,0.2413023,0.5421923,0.01927571],"genre_scores_gemma":[0.1181198,0.001193897,0.1839064,0.0009492846,0.0002377534,0.001629101,0.666961,0.01854985,0.00845292],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02358663,"threshold_uncertainty_score":0.07890517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008964446904368453,"score_gpt":0.2615438470735036,"score_spread":0.2525794001691352,"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."}}