{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240882,0.0003247215,0.0004931138,0.001615025,0.0004379702,0.001085136,0.0003131181,0.0003165042,0.001290173],"category_scores_gemma":[0.01096437,0.0002127628,0.0004762991,0.001616546,0.0006679539,0.001562056,0.001255883,0.000589704,0.0001479774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394525,"about_ca_system_score_gemma":0.0002264434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005899981,"about_ca_topic_score_gemma":0.001008309,"domain_scores_codex":[0.9987475,0.0003736905,0.00008383756,0.0002879868,0.000372678,0.0001343185],"domain_scores_gemma":[0.9820321,0.01302822,0.002253193,0.001122571,0.0008053663,0.0007585787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004942949,0.0000746187,0.8894906,0.0002855515,0.0007179539,0.000636564,0.0003272611,0.03035561,0.04378639,0.002247033,0.0004745274,0.0311097],"study_design_scores_gemma":[0.000008648078,0.00009568539,0.9529964,0.00001566732,0.0001574836,0.0009964939,0.0001948909,0.03228435,0.007077411,0.00414938,0.001987938,0.00003569836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959266,0.0004053442,0.002097071,0.0001022753,0.000003694585,0.000004982924,0.0005140884,0.00003779281,0.0009081502],"genre_scores_gemma":[0.9975336,0.0001529575,0.001457543,0.00001435334,0.000005903325,0.000005228092,0.0006690515,0.00001491519,0.0001464466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615025,"threshold_uncertainty_score":0.006562471,"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."}}