{"id":"W4408062361","doi":"10.5220/0013105300003893","title":"Data Clustering Using Mother Tree Optimization","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Cluster analysis; Tree (set theory); Data mining; 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":[0.002299726,0.0006862286,0.00192113,0.001706308,0.001232267,0.001346014,0.002015925,0.00146576,0.003263304],"category_scores_gemma":[0.006610024,0.0008433118,0.001697215,0.002323266,0.0005880318,0.001645878,0.002191369,0.001755353,0.001505651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327124,"about_ca_system_score_gemma":0.002054112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005095862,"about_ca_topic_score_gemma":0.004227372,"domain_scores_codex":[0.9985287,0.0005099999,0.00009174782,0.0003164227,0.0004331858,0.0001199177],"domain_scores_gemma":[0.9974802,0.001144845,0.0001488726,0.0004258348,0.0006987891,0.0001014101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003184979,0.0001373912,0.001524286,0.0001586593,0.0001912061,0.0001049181,0.0001899901,0.5136383,0.00641079,0.02529605,0.009079237,0.4429506],"study_design_scores_gemma":[0.000007015972,0.00001494386,0.00006868913,0.000003661228,0.000008234276,0.00001488219,0.00001173389,0.9939016,0.000860154,0.004392223,0.0007133686,0.000003616155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003756061,0.0001107237,0.9950021,0.00008884706,0.00002908268,0.0000325718,0.00005573365,0.0005174608,0.0004074204],"genre_scores_gemma":[0.1054191,0.0001735267,0.8905812,0.0001010509,0.00005133488,0.0001950295,0.0005164447,0.0003603522,0.002601884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005095862,"threshold_uncertainty_score":0.01216227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08909702423773201,"score_gpt":0.3795694031184865,"score_spread":0.2904723788807545,"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."}}