{"id":"W4401831247","doi":"10.18280/ria.380412","title":"A Comprehensive Study of Ensemble Models to Improve the Performance of Cluster Algorithms","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004388181,0.001094823,0.001520443,0.001633262,0.0007334998,0.001429441,0.001074319,0.0008982748,0.0007433157],"category_scores_gemma":[0.009709549,0.0003776381,0.001378392,0.002345569,0.0004009895,0.002635576,0.0008334356,0.001560746,0.0002643339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002396,"about_ca_system_score_gemma":0.001331396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004986626,"about_ca_topic_score_gemma":0.002774441,"domain_scores_codex":[0.9977335,0.0009025455,0.00009886008,0.0003116806,0.0008104056,0.0001430181],"domain_scores_gemma":[0.9951414,0.00231591,0.0001835571,0.0006313013,0.001645185,0.00008270113],"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":[0.0001108244,0.000148675,0.005704585,0.0001793545,0.0003889549,0.00005400029,0.0001428829,0.6922716,0.002653391,0.01823782,0.002598406,0.2775095],"study_design_scores_gemma":[0.000002878734,0.00007333825,0.0009215813,0.00001549502,0.0000420874,0.00002839856,0.00001766919,0.9937555,0.001189941,0.002783566,0.001159073,0.00001047244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06794039,0.004694266,0.9212402,0.0003698599,0.0001670682,0.00008876232,0.000113391,0.0006115207,0.004774459],"genre_scores_gemma":[0.7265729,0.003749842,0.2656281,0.0001534708,0.0002980869,0.0001764401,0.0004881848,0.0002081395,0.002724814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004986626,"threshold_uncertainty_score":0.02320719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697253121005116,"score_gpt":0.3270184935891303,"score_spread":0.2572931814886187,"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."}}