{"id":"W4211218449","doi":"10.1007/978-1-4471-7452-3_10","title":"Clustering II: Topics in Clustering","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cluster analysis; Computer science; Correlation clustering; CURE data clustering algorithm; Single-linkage clustering; Fuzzy clustering; Consensus clustering; Hierarchical clustering; Data mining; Brown clustering; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.0002959333,0.0004773657,0.0005698577,0.0005355948,0.000113772,0.0001906437,0.002057791,0.0004051382,0.0002161509],"category_scores_gemma":[0.00002656251,0.000492192,0.0001430311,0.0001136629,0.00005471582,0.0005148621,0.005394537,0.0009739635,0.0004675682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004458612,"about_ca_system_score_gemma":0.0001953534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003684338,"about_ca_topic_score_gemma":0.0002896403,"domain_scores_codex":[0.9970039,0.0000211241,0.0005594752,0.001034087,0.0006812523,0.0007001289],"domain_scores_gemma":[0.9979305,0.00009648102,0.0001453615,0.001581636,0.00009645873,0.0001495197],"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":[0.00002822564,0.00005224739,0.00002729683,0.0005982897,0.0000857219,0.0006811578,0.0009569875,0.02028843,0.00009579836,0.2233231,0.0008390323,0.7530237],"study_design_scores_gemma":[0.0006689749,0.000210942,0.000047682,0.0005868698,0.000004319452,0.00009474275,0.00000884078,0.6993269,0.00005797279,0.01014243,0.2878023,0.001048015],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006709102,0.0001379765,0.4954554,0.000447904,0.0006510215,0.0003263244,0.000002293671,0.0002017266,0.5027707],"genre_scores_gemma":[0.0002349852,0.0001361529,0.1292595,0.0002342153,0.000244943,0.00001151619,0.000005004487,0.00007443778,0.8697993],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7519757,"threshold_uncertainty_score":0.999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726779996790174,"score_gpt":0.2929327815631323,"score_spread":0.2556649815952305,"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."}}