{"id":"W4406087143","doi":"10.1038/s44320-024-00080-3","title":"Author Correction: Systematic protein-protein interaction mapping for clinically relevant human GPCRs","year":2025,"lang":"en","type":"erratum","venue":"Molecular Systems Biology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Regina; Princess Margaret Cancer Centre; Institute for Research in Immunology and Cancer; University Health Network; University of Toronto","funders":"","keywords":"Biology; G protein-coupled receptor; Computational biology; Bioinformatics; Genetics; Receptor","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003004577,0.001951915,0.001736481,0.003572119,0.002978701,0.00271619,0.003451369,0.006069261,0.05902114],"category_scores_gemma":[0.03603378,0.001186724,0.00150954,0.001813454,0.002049454,0.001485295,0.001632903,0.008947971,0.03633898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003130245,"about_ca_system_score_gemma":0.004679475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156393,"about_ca_topic_score_gemma":0.02201978,"domain_scores_codex":[0.9963838,0.0004250336,0.0004864405,0.0004960276,0.001903509,0.0003052404],"domain_scores_gemma":[0.976582,0.005837763,0.000912057,0.002079423,0.01350422,0.001084576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003834802,0.000006279492,0.00004664616,0.00009199361,0.000009942429,0.0003980525,0.00001325002,0.00004919764,0.0001529414,0.0005516575,0.9919506,0.006691057],"study_design_scores_gemma":[0.00005797574,0.00001949136,0.0005720588,0.0001833512,0.00005274892,0.001241163,0.00004602865,0.0004325596,0.001453625,0.001407857,0.9944951,0.00003814411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004131787,0.001177982,0.003212787,0.03644035,0.9495847,0.00004894386,0.001909166,0.00139003,0.005823013],"genre_scores_gemma":[0.03208517,0.009955943,0.03182699,0.1118911,0.2277942,0.0005460411,0.007678978,0.005859881,0.5723617],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9939308,"threshold_uncertainty_score":0.1974454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294404084393837,"score_gpt":0.3139300522152844,"score_spread":0.290986011371346,"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."}}