{"id":"W2047034391","doi":"10.1081/sta-200045867","title":"Robust Reduced Rank Mixture Discriminant Analysis","year":2005,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Linear discriminant analysis; Mathematics; Outlier; Rank (graph theory); Optimal discriminant analysis; Pattern recognition (psychology); Covariance; Multiple discriminant analysis; Statistics; Subspace topology; Mixture model; Gaussian; Discriminant; Kernel Fisher discriminant analysis; Covariance matrix; Artificial intelligence; Computer science; Combinatorics; Chemistry","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":[0.002833751,0.001186818,0.001788604,0.002394766,0.0003728633,0.001552203,0.001105627,0.0008330092,0.002966247],"category_scores_gemma":[0.006832628,0.0004292473,0.001663783,0.002105457,0.0009162198,0.001354236,0.001086872,0.001233576,0.002353942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00056796,"about_ca_system_score_gemma":0.0008344039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001806075,"about_ca_topic_score_gemma":0.001135713,"domain_scores_codex":[0.9976222,0.0009606406,0.0001210932,0.0004477086,0.0007195974,0.0001287847],"domain_scores_gemma":[0.9975759,0.0008700683,0.000264524,0.00050929,0.0007247579,0.00005558067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004930532,0.0001366572,0.001743035,0.0003362059,0.000357079,0.0001841094,0.0001510971,0.3617975,0.036022,0.06998452,0.006562588,0.5222322],"study_design_scores_gemma":[0.000009701408,0.00003700169,0.0005875132,0.00001172647,0.00002647112,0.00006380151,0.00001276988,0.9784743,0.00406233,0.01436664,0.002318826,0.00002886054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008294875,0.0003697468,0.989702,0.00009193803,0.0000365185,0.00002464366,0.00009916972,0.0003910138,0.0009901418],"genre_scores_gemma":[0.343617,0.0006738203,0.6482275,0.0001488581,0.0001734548,0.0001100252,0.0008309346,0.0002488467,0.005969587],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002966247,"threshold_uncertainty_score":0.01498652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592118916519817,"score_gpt":0.5010615256169871,"score_spread":0.3418496339650055,"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."}}