{"id":"W1985086849","doi":"10.1109/tnb.2012.2210907","title":"Identification of Hierarchical and Overlapping Functional Modules in PPI Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Identification (biology); Computer science; Computational biology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001387432,0.0007777564,0.0007289575,0.00467768,0.0005495038,0.000995002,0.0009400308,0.0006508243,0.0009885051],"category_scores_gemma":[0.005130953,0.0004674231,0.0007182601,0.002851555,0.0005618912,0.001913551,0.001505889,0.0006088307,0.0004551753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006308177,"about_ca_system_score_gemma":0.000703204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027882,"about_ca_topic_score_gemma":0.002136545,"domain_scores_codex":[0.9987111,0.0003082822,0.00007806966,0.0003737228,0.0004014409,0.0001273097],"domain_scores_gemma":[0.9982085,0.0007444368,0.0003766092,0.0002298064,0.0003409763,0.00009965893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008038934,0.0002664697,0.04403417,0.0008767124,0.0005216269,0.0004982958,0.0006119295,0.2133209,0.08813339,0.02191661,0.003604311,0.6254117],"study_design_scores_gemma":[0.00003052543,0.00009032742,0.0177742,0.00003383036,0.0001012636,0.0003175271,0.0001530499,0.937281,0.02084592,0.02098458,0.002336989,0.00005073204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2133617,0.0007854787,0.781335,0.0001165232,0.00001546775,0.0001786032,0.0004319054,0.001719997,0.002055389],"genre_scores_gemma":[0.6529635,0.0004364129,0.3436895,0.00005792807,0.0000226156,0.0001472193,0.001657121,0.000160948,0.0008646224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00467768,"threshold_uncertainty_score":0.007337511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003910139230848,"score_gpt":0.2220343014654088,"score_spread":0.2119952000731003,"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."}}