{"id":"W4319993349","doi":"10.1007/978-3-031-21131-7_1","title":"Modularity of the ABCD Random Graph Model with Community Structure","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Community structure; Random graph; Modularity (biology); Graph; Clique percolation method; Computer science; Theoretical computer science; Mathematics; Algorithm; Combinatorics","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":[0.0002925702,0.0003006326,0.000590975,0.0001391456,0.0002651181,0.00001314552,0.0005847267,0.00006608751,0.00003441432],"category_scores_gemma":[0.00001174304,0.0002116974,0.0002240396,0.0002034252,0.000709886,0.00003635156,0.000570869,0.0008811711,0.000002263296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005267531,"about_ca_system_score_gemma":0.00008150652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001801285,"about_ca_topic_score_gemma":0.0004399533,"domain_scores_codex":[0.9986008,0.00008526839,0.0005000281,0.0002469787,0.0003993987,0.0001674934],"domain_scores_gemma":[0.9979836,0.0007382546,0.0003667299,0.0004524522,0.0004382307,0.00002078642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001963199,0.00001741223,0.0003631995,0.00003802687,0.000433178,4.89398e-7,0.0004977862,0.627753,4.898127e-7,0.3692225,0.0002157168,0.00143855],"study_design_scores_gemma":[0.0000890252,0.0000199202,0.0001167797,0.0004149186,0.00007949753,4.623264e-7,0.0002248349,0.09058294,0.0000305895,0.9082175,0.00003769116,0.0001857746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004499184,0.0008340597,0.9172099,0.0002348094,0.0003319764,0.001351723,0.0008158896,0.0001453185,0.07457711],"genre_scores_gemma":[0.9879413,0.00004272479,0.004908003,0.0000290258,0.00006818782,0.00002064693,0.0001019123,0.00003523864,0.006852996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9834421,"threshold_uncertainty_score":0.8632768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.087563472982037,"score_gpt":0.3400865512774207,"score_spread":0.2525230782953837,"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."}}