{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081778,0.0007671911,0.0005931716,0.002115256,0.0004954127,0.001072254,0.0008333725,0.0009901167,0.002287884],"category_scores_gemma":[0.007030692,0.0003578001,0.0005982025,0.001103816,0.001577805,0.002499579,0.001020713,0.001326996,0.0004107883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007184946,"about_ca_system_score_gemma":0.0003468003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935153,"about_ca_topic_score_gemma":0.001035449,"domain_scores_codex":[0.9995725,0.0002261189,0.00001267759,0.00006601062,0.00008703255,0.00003575977],"domain_scores_gemma":[0.9970566,0.001790839,0.0003730874,0.0003148156,0.0002835902,0.000181121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002651136,0.00002778452,0.0008386612,0.00007994546,0.00002428814,0.0001203197,0.0002384903,0.2858619,0.00242075,0.6965737,0.001322635,0.01246491],"study_design_scores_gemma":[0.000003170293,0.000009595831,0.0002272397,0.00001383853,0.00000347269,0.00004661493,0.00005068445,0.6837455,0.0002447229,0.3145613,0.001084251,0.000009658733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05112304,0.0007514693,0.9400954,0.0004299143,0.00004207904,0.00004096809,0.0001288128,0.000302039,0.007086331],"genre_scores_gemma":[0.8510942,0.001500546,0.1425547,0.000199344,0.0001204282,0.0001873419,0.0002637956,0.0002640382,0.003815603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002287884,"threshold_uncertainty_score":0.007653773,"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."}}