{"id":"W2149780759","doi":"10.1371/journal.pone.0023016","title":"Dominating Biological Networks","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs; National Science Foundation","keywords":"Centrality; Computational biology; Biological network; Function (biology); Systems biology; Gene; Interaction network; Biology; Computer science; Topology (electrical circuits); Genetics; Mathematics","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":[0.0001411841,0.00009446154,0.0001133341,0.00001333235,0.00005536375,0.00001006925,0.0001493236,0.0001604983,0.00009254063],"category_scores_gemma":[0.00002699231,0.00008062345,0.00004514205,0.00003950795,0.00005281073,0.000001714327,0.0001160524,0.00009330796,0.0000274152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004100939,"about_ca_system_score_gemma":0.000009884285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003878697,"about_ca_topic_score_gemma":0.000002860169,"domain_scores_codex":[0.9993963,0.00001914046,0.0001628659,0.0001489857,0.00005805905,0.0002146006],"domain_scores_gemma":[0.9996215,0.000006119433,0.00006033507,0.0002106957,0.00003752275,0.00006386347],"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":[0.0006911192,0.004472045,0.05577584,0.000138956,0.001820217,0.00002173765,0.001369235,0.0001368044,0.858797,0.006334243,0.00728694,0.06315584],"study_design_scores_gemma":[0.005141404,0.005270671,0.04293063,0.0005306557,0.0004539862,0.00005511375,0.0009308729,0.05328574,0.8737271,0.007377854,0.006905743,0.003390193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673526,0.0007544426,0.009123706,0.00002527638,0.00005900225,0.0001601052,0.000003852957,0.00002278047,0.02249825],"genre_scores_gemma":[0.9860708,0.0002661434,0.01263883,0.0003340828,0.0002987144,0.00001427308,0.00004368435,0.00001077359,0.0003226796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05976565,"threshold_uncertainty_score":0.3287729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405361379952921,"score_gpt":0.2076737296270577,"score_spread":0.1536201158275284,"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."}}