{"id":"W2171721967","doi":"","title":"A Bayesian Approach to Cluster Validation.","year":2008,"lang":"en","type":"article","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hyperparameter; Cluster analysis; Bayesian probability; Computer science; Stability (learning theory); Matrix (chemical analysis); Baseline (sea); Algorithm; Cluster (spacecraft); Measure (data warehouse); Mathematical optimization; Mathematics; Data mining; Artificial intelligence; Machine learning","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":[0.03005855,0.001604107,0.002522035,0.005857703,0.00301586,0.004472168,0.004715228,0.003343705,0.004703872],"category_scores_gemma":[0.09271608,0.001373659,0.002039507,0.003745492,0.003489645,0.003966149,0.004838847,0.005745129,0.00215403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003215413,"about_ca_system_score_gemma":0.005397536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007603703,"about_ca_topic_score_gemma":0.00852267,"domain_scores_codex":[0.9753237,0.01486361,0.0008033488,0.003429538,0.005153304,0.0004265766],"domain_scores_gemma":[0.9631675,0.02049399,0.002426737,0.006560124,0.006732706,0.0006189722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002871704,0.0001969279,0.005489489,0.0006406333,0.001038004,0.0001480207,0.0008450563,0.2416514,0.004043139,0.3823352,0.0151253,0.3481996],"study_design_scores_gemma":[0.00005045462,0.00005657649,0.001166195,0.0001994115,0.00009298398,0.0001894637,0.0001328925,0.6762776,0.002231055,0.3062565,0.01326894,0.00007795094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007948514,0.000189888,0.9976267,0.0002122394,0.00004544409,0.00008188505,0.00007931571,0.0002139256,0.0007557128],"genre_scores_gemma":[0.06753057,0.0004120489,0.927675,0.0005734602,0.0002090589,0.000707501,0.0007091892,0.0003020277,0.001881178],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03005855,"threshold_uncertainty_score":0.1589667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110340279776963,"score_gpt":0.2590622690560823,"score_spread":0.2279588662583126,"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."}}