{"id":"W4205263674","doi":"10.1007/978-0-387-39940-9_3579","title":"Semi-Supervised Clustering","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cluster analysis; Computer science; 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":[0.0006301187,0.0006494812,0.0009909682,0.0005160358,0.0001199624,0.0001298553,0.002667107,0.0003461007,0.00006103362],"category_scores_gemma":[0.00009451006,0.0006565567,0.0002124314,0.0001672293,0.0001066242,0.0008227277,0.001626351,0.0007853728,0.000283637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021695,"about_ca_system_score_gemma":0.0003000423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009709379,"about_ca_topic_score_gemma":0.00002087984,"domain_scores_codex":[0.9955857,0.00008290058,0.00108195,0.001164369,0.00141235,0.0006726767],"domain_scores_gemma":[0.9955807,0.0002509112,0.0005355119,0.002996417,0.0002995551,0.000336854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079355,0.0002804764,0.00002479539,0.006785666,0.0006800254,0.002797404,0.001692718,0.009766266,0.00123352,0.1881215,0.03233324,0.7561764],"study_design_scores_gemma":[0.0007019339,0.0002389397,0.000008269419,0.002457875,0.00003637253,0.0001915731,0.00002498941,0.1177709,0.00005106112,0.0009301784,0.8764175,0.001170404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005301947,0.002979333,0.3492713,0.0000692301,0.001575445,0.0007998502,0.0003962092,0.0003094819,0.6445938],"genre_scores_gemma":[0.0003178864,0.005009428,0.06454829,0.00006646862,0.001486648,0.00006706257,0.0004193122,0.0001875791,0.9278973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8440843,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456835728460777,"score_gpt":0.2700766950451616,"score_spread":0.2455083377605538,"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."}}