{"id":"W4365814913","doi":"10.1038/s41467-023-37876-0","title":"Next-generation large-scale binary protein interaction network for Drosophila melanogaster","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Human Genome Research Institute; National Medical Research Council; Canadian Institutes of Health Research; U.S. Department of Health and Human Services; National Institutes of Health; Fonds De La Recherche Scientifique - FNRS; Howard Hughes Medical Institute","keywords":"Drosophila melanogaster; Scale (ratio); Protein–protein interaction; Protein Interaction Networks; Computational biology; Computer science; Biology; Genetics; Physics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000308014,0.0001090943,0.00009183789,0.00004198907,0.0003572858,0.00005408327,0.0004158977,0.0003386753,0.000005795031],"category_scores_gemma":[0.00003448277,0.0001078322,0.00008801991,0.0001856969,0.00003441249,0.00001287405,0.0002787397,0.0003008117,0.00002912767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001515244,"about_ca_system_score_gemma":0.00003266718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001227556,"about_ca_topic_score_gemma":0.0002268397,"domain_scores_codex":[0.999292,0.00005273053,0.000210137,0.0001596605,0.00006382018,0.0002217023],"domain_scores_gemma":[0.9987916,0.00002460104,0.00009897387,0.0009342898,0.0001065279,0.00004401943],"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":[0.0001062424,0.0001570424,0.0005032092,0.00003980663,0.0001193413,3.771384e-7,0.0003519269,0.003017246,0.388687,0.008560301,0.5920157,0.006441811],"study_design_scores_gemma":[0.0004706711,0.0001385504,0.0005973612,0.00002680939,0.00002335269,0.000004124826,0.000169469,0.1144993,0.00281834,0.0007937492,0.8802426,0.0002155978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011232,0.01656708,0.03242068,0.02910822,0.003795037,0.005643853,0.0006760996,0.0004277204,0.01023809],"genre_scores_gemma":[0.9772158,0.0003751083,0.01369963,0.0007677745,0.0008383009,0.0002901824,0.005709041,0.00002499704,0.001079232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3858686,"threshold_uncertainty_score":0.4397269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067674076623021,"score_gpt":0.2951963947889952,"score_spread":0.2645196540227649,"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."}}