{"id":"W1995283805","doi":"10.1093/nar/gkr1025","title":"TopFIND 2.0--linking protein termini with proteolytic processing and modifications altering protein function","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC; Bundesministerium für Bildung und Forschung; Deutscher Akademischer Austauschdienst; Canadian Institutes of Health Research; Cancer Research Society; Alexander von Humboldt-Stiftung","keywords":"Biology; Proteome; Computational biology; Proteomics; Proteases; Protease; Cleavage (geology); Protein domain; UniProt; Biochemistry; Genetics; Gene; Enzyme","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":[0.001850367,0.002733679,0.001760481,0.007482269,0.001108716,0.00412688,0.002803992,0.001268641,0.02710303],"category_scores_gemma":[0.00645988,0.001285158,0.001794733,0.005775196,0.0005019258,0.003748128,0.003055875,0.001923487,0.01633962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762773,"about_ca_system_score_gemma":0.002281197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260239,"about_ca_topic_score_gemma":0.003137725,"domain_scores_codex":[0.9991279,0.0001049326,0.0001220384,0.0002159337,0.0003042563,0.0001248456],"domain_scores_gemma":[0.9978871,0.0008388722,0.0004066146,0.0003495746,0.0002989249,0.000218964],"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":[0.003407178,0.0003253723,0.014341,0.01864038,0.0009548978,0.003244057,0.0009010406,0.005676474,0.05081617,0.01042849,0.6337256,0.2575393],"study_design_scores_gemma":[0.0003589029,0.0004341661,0.02275237,0.001866897,0.0008455727,0.006640908,0.0004514558,0.02327875,0.06823473,0.02009448,0.8546355,0.0004063484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.03597686,0.006253572,0.1355281,0.00102772,0.0007388989,0.00102033,0.6279725,0.1667371,0.02474497],"genre_scores_gemma":[0.04268319,0.005378308,0.1579543,0.0004252018,0.0002002051,0.001213165,0.7735457,0.01135627,0.007243644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02710303,"threshold_uncertainty_score":0.09066868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479905212258674,"score_gpt":0.310058947810122,"score_spread":0.2620684265842546,"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."}}