{"id":"W2262766865","doi":"","title":"Core decomposition spectra of large graphs and their applications in modelling","year":2008,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Modular decomposition; Clustering coefficient; Random graph; Cluster analysis; Vertex (graph theory); Computer science; Spectral clustering; Generalization; Core (optical fiber); Pathwidth; Null model; Theoretical computer science; Mathematics; Graph; Combinatorics; Line graph; Artificial intelligence","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":[0.00008016496,0.00008986147,0.0001246726,0.0001503078,0.00007569383,0.00001618886,0.00005999027,0.00002571751,0.00002733304],"category_scores_gemma":[5.588496e-7,0.00008486657,0.00003510841,0.00008105145,0.00003016976,0.00008730278,0.00001654575,0.00008793843,4.207776e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001064366,"about_ca_system_score_gemma":0.00001028803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040265,"about_ca_topic_score_gemma":0.000005805315,"domain_scores_codex":[0.9994385,0.00001443233,0.0002060524,0.0001732485,0.00009074781,0.00007708094],"domain_scores_gemma":[0.9996253,0.00007653665,0.00008989897,0.00007921238,0.0001056346,0.00002342828],"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":[0.00001265317,0.00005291352,0.01081761,0.000001792062,0.00001358095,8.482539e-8,0.0003028729,0.7743183,0.0001190175,0.2136761,6.360982e-7,0.0006844496],"study_design_scores_gemma":[0.0001438009,0.00001273596,0.0003394051,0.00002724404,0.000003983139,2.072134e-7,0.00007113077,0.8272671,0.0002124437,0.1718429,0.00001636876,0.00006275335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4743824,0.00001329289,0.5246277,0.00001426792,0.000005297082,0.00006349653,0.00001115764,0.00001045487,0.0008719392],"genre_scores_gemma":[0.9968731,0.00005586999,0.002889534,0.000006759991,0.00002707269,0.00001244111,0.0001133261,0.000005739817,0.00001612414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5224907,"threshold_uncertainty_score":0.3460758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0884296710595762,"score_gpt":0.3415470846537313,"score_spread":0.2531174135941551,"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."}}