{"id":"W2885694481","doi":"10.1007/978-3-319-99368-3_6","title":"Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Computer science; Cluster analysis; Robustness (evolution); Graph; Graph theory; Data mining; Modularity (biology); Community structure; Theoretical computer science; Artificial intelligence; 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":[0.002970461,0.00128826,0.002169077,0.003280194,0.001482923,0.001988358,0.003283916,0.002604504,0.002753047],"category_scores_gemma":[0.0169711,0.000917853,0.001518436,0.005050204,0.001626266,0.002523068,0.003001625,0.003238373,0.001167546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105456,"about_ca_system_score_gemma":0.0009886172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482391,"about_ca_topic_score_gemma":0.004035482,"domain_scores_codex":[0.9982968,0.0006080781,0.0000931909,0.0003426305,0.0005561062,0.0001032561],"domain_scores_gemma":[0.9906357,0.006540736,0.0005933171,0.0007267956,0.001173901,0.0003296596],"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":[0.0002248775,0.0002660175,0.002522811,0.0006584265,0.0002490915,0.0001866572,0.00064707,0.4566622,0.006802345,0.07551851,0.01313341,0.4431287],"study_design_scores_gemma":[0.00001331475,0.0000263539,0.0003971829,0.00002204426,0.00002434898,0.00006496586,0.00005493951,0.9502516,0.001325409,0.04566348,0.002134633,0.00002177271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004503804,0.0005213741,0.9935306,0.000171443,0.00009405193,0.00004602964,0.00005131072,0.0004491736,0.0006322477],"genre_scores_gemma":[0.1282715,0.001388744,0.8631757,0.0001770314,0.0003916775,0.0002735681,0.0003016212,0.00070257,0.005317673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004482391,"threshold_uncertainty_score":0.01570946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231476825603048,"score_gpt":0.3256367571791857,"score_spread":0.3033219889231552,"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."}}