{"id":"W2042236541","doi":"10.1371/journal.pone.0066005","title":"Link Clustering with Extended Link Similarity and EQ Evaluation Division","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Jilin University; National Natural Science Foundation of China","keywords":"Jaccard index; Cluster analysis; Dendrogram; Similarity (geometry); Hierarchical clustering; Partition (number theory); Single-linkage clustering; Mathematics; Similarity measure; Link (geometry); Hierarchical clustering of networks; Distance matrix; Pattern recognition (psychology); Consensus clustering; Computer science; Data mining; Artificial intelligence; Correlation clustering; Algorithm; CURE data clustering algorithm; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974555,0.0001093592,0.0001830086,0.0000458973,0.00009671823,0.00008608155,0.00007798523,0.00002743116,0.0006952554],"category_scores_gemma":[0.000006130937,0.00009295946,0.00002838229,0.0001072692,0.00002632505,0.0001592268,0.0001029638,0.0001317035,0.00001885163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819125,"about_ca_system_score_gemma":0.0000136252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396026,"about_ca_topic_score_gemma":0.00001384767,"domain_scores_codex":[0.9991484,0.0000550243,0.0001459202,0.0002176777,0.0002846832,0.000148301],"domain_scores_gemma":[0.9993999,0.00004310676,0.00007687399,0.0002485679,0.0001740663,0.00005745698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002600726,0.001052901,0.1408297,0.00007078972,0.0008190518,6.246753e-7,0.000380894,0.0002910535,0.01771434,0.001207705,0.0003216957,0.8372852],"study_design_scores_gemma":[0.0006683968,0.0001896129,0.1324158,0.0002818413,0.0004750041,1.669339e-7,0.0000457212,0.8277478,0.008063089,0.02970495,0.00006843048,0.0003392989],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648641,0.00006850118,0.02947947,0.0006407906,0.000005337355,0.0005855579,0.000002509095,0.00009273606,0.004261028],"genre_scores_gemma":[0.9866838,0.000004910073,0.01279868,0.0000308898,0.0002398733,0.0001025679,0.00003658544,0.00001400757,0.00008869352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.836946,"threshold_uncertainty_score":0.7612559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05250342473247557,"score_gpt":0.2612214806814878,"score_spread":0.2087180559490122,"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."}}