{"id":"W1947760575","doi":"10.18637/jss.v047.i05","title":"High-Dimensional Bayesian Clustering with Variable Selection: The<i>R</i>Package<b>bclust</b>","year":2012,"lang":"en","type":"article","venue":"Journal of Statistical Software","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Neuchâtel; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"R package; Cluster analysis; Computer science; Bayesian probability; Hierarchical clustering; Bayes' theorem; Bayes factor; Parametric statistics; Variable (mathematics); Data mining; Mathematics; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001064832,0.0001781163,0.0003000237,0.00006991405,0.0002559283,0.000140145,0.0004841047,0.00007509237,0.0001408934],"category_scores_gemma":[0.0002403611,0.0001020549,0.00005579468,0.0003499835,0.00008105119,0.0006750577,0.0001362413,0.0004891703,0.00000982468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000074184,"about_ca_system_score_gemma":0.0001704716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001885726,"about_ca_topic_score_gemma":0.000003331293,"domain_scores_codex":[0.9981723,0.0002204658,0.000407848,0.0001688477,0.000579558,0.0004509734],"domain_scores_gemma":[0.9981726,0.0007131053,0.0002605646,0.0002350025,0.0002744417,0.0003443119],"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":[0.0002275928,0.0003944675,0.002496424,0.00008870543,0.0002354224,0.0001644756,0.0007403185,0.002105786,0.0003567246,0.7857991,0.02054046,0.1868505],"study_design_scores_gemma":[0.007143085,0.004437575,0.04506832,0.0009666519,0.000759886,0.02327674,0.00009489867,0.1240459,0.00276952,0.7561005,0.03270695,0.00262999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002199953,0.0001824587,0.9980267,0.0007048142,0.0006245594,0.00008083745,0.000009942041,0.00004115682,0.0001094963],"genre_scores_gemma":[0.09987766,0.000003475971,0.8987926,0.0007017149,0.0005002862,0.000002717935,0.000001030296,0.00001572708,0.0001048283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1842205,"threshold_uncertainty_score":0.4161679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069729842721405,"score_gpt":0.2481134082660615,"score_spread":0.2374161098388475,"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."}}