{"id":"W1600018470","doi":"10.1007/11590316_124","title":"Collaborative Rough Clustering","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cluster analysis; Data mining; Rough set; Correlation clustering; Fuzzy 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":[0.0006436217,0.0006022973,0.0005876682,0.0006198977,0.0002768802,0.000803677,0.003875345,0.00035492,0.00003831716],"category_scores_gemma":[0.00004358322,0.000524983,0.0001226823,0.0009024784,0.0005734644,0.0008829589,0.001972246,0.0008042323,0.0001287833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928263,"about_ca_system_score_gemma":0.000686769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493706,"about_ca_topic_score_gemma":0.0001466424,"domain_scores_codex":[0.9959516,0.00003477095,0.0005356112,0.001707542,0.0009790289,0.0007914304],"domain_scores_gemma":[0.9974583,0.000276823,0.0002921716,0.001506583,0.0002688608,0.0001972139],"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":[0.000003992132,0.00001958759,0.00000949559,0.00001486901,0.000008885407,0.0001114391,0.0009142053,0.06459867,0.00001491328,0.01490323,0.00005438671,0.9193463],"study_design_scores_gemma":[0.0003147923,0.0002101363,0.00006956945,0.0002646612,0.000006517424,0.00009110585,2.164516e-7,0.8921601,0.0002047356,0.08634858,0.01937054,0.0009591008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001177301,0.0008702233,0.9574397,0.001305941,0.001828898,0.0003741373,0.000006512368,0.0002095613,0.03795324],"genre_scores_gemma":[0.03574324,0.0001720783,0.9588743,0.003296316,0.001218316,0.00001237718,0.000004882006,0.00004329267,0.0006351261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9183872,"threshold_uncertainty_score":0.9997202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494284280800393,"score_gpt":0.244792221839947,"score_spread":0.2298493790319431,"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."}}