{"id":"W2005989548","doi":"10.1088/1367-2630/17/1/013044","title":"Defining and identifying cograph communities in complex networks","year":2015,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Centrality; Enhanced Data Rates for GSM Evolution; Community structure; Complex network; Computer science; Cograph; Focus (optics); Representation (politics); Simple (philosophy); Theoretical computer science; Identification (biology); Graph; Algorithm; Artificial intelligence; Combinatorics; Mathematics; Physics; Political science; Epistemology; World Wide Web","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":[0.001531166,0.0007038688,0.0007220807,0.005198181,0.001466202,0.002079884,0.001333383,0.001490631,0.00123917],"category_scores_gemma":[0.01009557,0.0004894112,0.0008261821,0.002581447,0.001446796,0.003211805,0.002445841,0.0009451408,0.0003990041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200223,"about_ca_system_score_gemma":0.001442066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005446918,"about_ca_topic_score_gemma":0.00663893,"domain_scores_codex":[0.9988763,0.0002806752,0.00005880137,0.0003835273,0.0002962173,0.0001043707],"domain_scores_gemma":[0.9953686,0.002375006,0.0007475216,0.0005228032,0.0007557952,0.0002302901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000275468,0.0002309204,0.03148345,0.000785663,0.0002586611,0.0006114728,0.002622784,0.2505543,0.02985014,0.1762273,0.005238215,0.5018617],"study_design_scores_gemma":[0.0000236982,0.00004745855,0.005349312,0.00008384282,0.00003604027,0.0003980601,0.0006460636,0.8314667,0.0065744,0.1496192,0.005709079,0.00004606501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1104106,0.0005699793,0.8853024,0.0002961038,0.00002499335,0.0002121823,0.0002827113,0.0005374136,0.00236358],"genre_scores_gemma":[0.4505019,0.0004613003,0.5461765,0.0001253168,0.00004475025,0.0002161789,0.0006749413,0.0001183557,0.001680708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005446918,"threshold_uncertainty_score":0.0108304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252222761273765,"score_gpt":0.3107602615749357,"score_spread":0.2482380339621981,"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."}}