{"id":"W2116063286","doi":"10.1109/iv.2004.1320123","title":"Strahler based graph clustering using convolution","year":2004,"lang":"en","type":"article","venue":"Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Cluster analysis; Convolution (computer science); Graph; Theoretical computer science; Artificial intelligence; Artificial neural network","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":[0.0008964463,0.001044278,0.001236531,0.00413857,0.0009837413,0.002509098,0.001538855,0.001334183,0.002949084],"category_scores_gemma":[0.004491618,0.0007171407,0.001110721,0.00301205,0.001203673,0.00311379,0.002028543,0.00114735,0.001461111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013265,"about_ca_system_score_gemma":0.0009908227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321518,"about_ca_topic_score_gemma":0.003086712,"domain_scores_codex":[0.9988943,0.0002848571,0.0000570285,0.0002335184,0.0004512825,0.00007905807],"domain_scores_gemma":[0.9981076,0.0007635495,0.0002150374,0.0004261388,0.0003800096,0.0001076886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002067288,0.0001066055,0.002098955,0.0003449522,0.0001660237,0.0003357047,0.001030251,0.2263713,0.05174397,0.2199074,0.007934685,0.4897534],"study_design_scores_gemma":[0.00001465128,0.00003667408,0.0005676053,0.00001773992,0.00001286031,0.0002544147,0.00006604363,0.8969874,0.0104717,0.08527298,0.006247664,0.00005026827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007510333,0.00009695958,0.989477,0.00009135409,0.00001658414,0.0000342633,0.00004217112,0.001863466,0.0008678658],"genre_scores_gemma":[0.131795,0.0002768547,0.864203,0.0001090107,0.00004777007,0.0001463012,0.0002867391,0.0008743614,0.002261027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00413857,"threshold_uncertainty_score":0.009865701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784909218101415,"score_gpt":0.2953178587110025,"score_spread":0.2474687665299884,"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."}}