{"id":"W3004293141","doi":"10.1017/nws.2020.45","title":"Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure","year":2021,"lang":"en","type":"article","venue":"Network Science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Community structure; Benchmark (surveying); Random graph; Scalability; Graph; Theoretical computer science; Artificial intelligence; Complex network; Degree distribution; Algorithm; Machine learning; Mathematics","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":[0.002789437,0.0007118247,0.0008327164,0.00187328,0.0008384871,0.001001412,0.00193052,0.001968822,0.001751625],"category_scores_gemma":[0.01468115,0.0002720827,0.000877072,0.00149483,0.001005012,0.001614365,0.000920632,0.001388353,0.0003325041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522293,"about_ca_system_score_gemma":0.0007623462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006416522,"about_ca_topic_score_gemma":0.005001914,"domain_scores_codex":[0.9981364,0.001017918,0.00004950552,0.0003749383,0.0002937919,0.0001274932],"domain_scores_gemma":[0.9885925,0.007489693,0.0007906193,0.001326749,0.001375223,0.0004252025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002663773,0.0002438006,0.005664933,0.0003320264,0.0001048659,0.0002582817,0.000105458,0.8955695,0.002348682,0.04972765,0.01532857,0.0300499],"study_design_scores_gemma":[0.00002658928,0.00003453582,0.0004215723,0.000009718367,0.000005848292,0.00006739505,0.00001667465,0.9827718,0.0006941153,0.01483809,0.001105106,0.000008563859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4926221,0.002479591,0.4795149,0.004090793,0.000469943,0.0004201781,0.006156101,0.002418455,0.01182787],"genre_scores_gemma":[0.8600265,0.0003355716,0.1325459,0.0003964604,0.00007858099,0.0002414461,0.004339451,0.0001566037,0.001879461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006416522,"threshold_uncertainty_score":0.01475215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028907242691966,"score_gpt":0.2689334541712341,"score_spread":0.2486443817443144,"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."}}