{"id":"W4403714735","doi":"10.1103/physreve.110.044315","title":"Bayan algorithm: Detecting communities in networks through exact and approximate optimization of modularity","year":2024,"lang":"en","type":"article","venue":"Physical review. E","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"","keywords":"Modularity (biology); Computer science; Algorithm; Theoretical computer science; Biology; Evolutionary 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268026,0.0001396428,0.0004137604,0.00003437042,0.0000509659,0.00004070768,0.0001215294,0.00001615817,0.00004149938],"category_scores_gemma":[0.000004470528,0.000124104,0.0001269402,0.0003972628,0.00005946299,0.0001767808,0.0001246259,0.0002609743,8.052564e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001604758,"about_ca_system_score_gemma":0.000009886834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005304439,"about_ca_topic_score_gemma":0.000009266472,"domain_scores_codex":[0.999155,0.000143816,0.0002767554,0.0001621334,0.0001006207,0.0001616121],"domain_scores_gemma":[0.9994407,0.0001817241,0.00007749055,0.0002402285,0.00003389065,0.00002596002],"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":[0.000006181332,0.0004861146,0.005760209,0.001805601,0.0002713097,0.000002625901,0.001326385,0.08046183,0.00009744672,0.08140534,0.0003200509,0.8280569],"study_design_scores_gemma":[0.00004633341,0.00001756113,0.00007933579,0.001285343,0.00007339712,2.939088e-7,0.0000805554,0.974991,0.0001441278,0.0228671,0.0002994669,0.0001155389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02645225,0.01204602,0.9594523,0.0000556616,0.00002351203,0.0002932355,0.000008096027,0.00007677078,0.00159212],"genre_scores_gemma":[0.9843495,0.002651282,0.01271054,0.00002691658,0.0001464996,0.00004450867,0.00004922097,0.00001732611,0.000004146646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578973,"threshold_uncertainty_score":0.5060815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041192560256262,"score_gpt":0.3266422660660272,"score_spread":0.3062303404634646,"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."}}