{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006754074,0.0003893202,0.0002506007,0.000948461,0.0004624745,0.00109636,0.001068403,0.0001845214,0.0002566198],"category_scores_gemma":[0.000124468,0.0003896565,0.0001399198,0.0007985146,0.0001240023,0.007313586,0.0001043333,0.0003101278,0.0002184615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004766799,"about_ca_system_score_gemma":0.0003487153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000457776,"about_ca_topic_score_gemma":0.000003271668,"domain_scores_codex":[0.9971167,0.00002941726,0.000893383,0.0004359742,0.001073743,0.0004507408],"domain_scores_gemma":[0.9972503,0.00002854116,0.0006460286,0.0002449611,0.001633866,0.0001962621],"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":[0.00005603301,0.0001247122,0.0003427274,0.00004862458,0.00004566059,0.000001496366,0.001814682,0.01952174,0.0007963229,0.9748297,0.0003606667,0.002057638],"study_design_scores_gemma":[0.002652575,0.0002494074,0.001830018,0.0003650112,0.00002016809,0.00004624925,0.0005926538,0.9003021,0.005515037,0.08584587,0.001798589,0.0007823702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02589958,0.00001863198,0.9537842,0.001216517,0.001354333,0.00045294,0.00004088458,0.0004411935,0.01679169],"genre_scores_gemma":[0.9709188,0.00001279658,0.02686102,0.001699254,0.0001991089,0.0000541437,0.0001447725,0.0000173781,0.00009274511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9450192,"threshold_uncertainty_score":0.9999406,"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."}}