{"id":"W2132401915","doi":"10.1101/gr.068130.107","title":"Impacts of protein–protein interaction domains on organism and network complexity","year":2008,"lang":"en","type":"article","venue":"Genome Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; University College London; Simon Fraser University; Chinese Academy of Sciences; National Science Foundation","keywords":"Biology; Proteome; Computational biology; Protein domain; Organism; RNA splicing; Adaptation (eye); Alternative splicing; Model organism; Protein–protein interaction; Three-domain system; Genome; Genetics; Gene; Neuroscience; RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006593858,0.000110635,0.0001500778,0.00006532218,0.0002422203,0.00001931426,0.0001640319,0.0001340483,0.00003977324],"category_scores_gemma":[0.00004594726,0.00009936273,0.00004104264,0.0001560748,0.0003111005,0.00000465391,0.0002266292,0.0002712117,0.00002405217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002985067,"about_ca_system_score_gemma":0.00009721185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006545521,"about_ca_topic_score_gemma":0.0000401603,"domain_scores_codex":[0.9988166,0.0001109017,0.000222023,0.0002114629,0.000235221,0.0004038027],"domain_scores_gemma":[0.9993131,0.00001602509,0.00007313729,0.000333554,0.0001352647,0.0001289335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004317681,0.0001047989,0.0005251963,0.0001015449,0.00008131427,0.000009239051,0.0003203475,0.0001226408,0.9918641,0.002633905,0.001366745,0.00243841],"study_design_scores_gemma":[0.0063732,0.01267859,0.08676614,0.0005295426,0.00003035763,0.0004693761,0.001211348,0.001720445,0.6500125,0.02903824,0.2092853,0.001884923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952514,0.0005656265,0.0006025101,0.0001502724,0.00003163406,0.0005091063,0.00001374135,0.000005833536,0.002869939],"genre_scores_gemma":[0.9974048,0.0002535715,0.001505152,0.00004500246,0.0003027252,0.00002043704,0.00005325676,0.00001690814,0.000398161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3418516,"threshold_uncertainty_score":0.4051895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595959042028777,"score_gpt":0.3227962482637463,"score_spread":0.2668366578434586,"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."}}