{"id":"W2145512244","doi":"10.1109/icassp.2009.4959963","title":"Orthogonalized discriminant analysis based on generalized singular value decomposition","year":2009,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Orthogonalization; Linear discriminant analysis; Pattern recognition (psychology); Singular value decomposition; Computer science; Subspace topology; Artificial intelligence; Algorithm; Principal component analysis; Mathematics","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":[0.0009785668,0.0007246973,0.0009611108,0.0011298,0.0003132238,0.0008014575,0.000587225,0.0004989012,0.001203964],"category_scores_gemma":[0.003243211,0.0002624482,0.0007443059,0.001343392,0.0006311547,0.0009213213,0.000806419,0.000930833,0.0007345438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003373147,"about_ca_system_score_gemma":0.0008442501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411415,"about_ca_topic_score_gemma":0.001156751,"domain_scores_codex":[0.9991273,0.000264745,0.00005298274,0.0001500347,0.0003442778,0.0000605799],"domain_scores_gemma":[0.9990715,0.0002960523,0.00007774189,0.0001402811,0.0003830299,0.00003137978],"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":[0.0001642266,0.00007766667,0.0008851113,0.0001624363,0.0001308021,0.0001007919,0.0001005617,0.1768096,0.04105228,0.04948639,0.004366172,0.7266639],"study_design_scores_gemma":[0.00001249921,0.00003795276,0.0003417633,0.000006960222,0.00001181778,0.00006764262,0.00001299286,0.981203,0.006609742,0.009056672,0.002614724,0.00002420314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003804819,0.0001029706,0.9953785,0.00003386481,0.00002759515,0.00001539758,0.00002114433,0.0002116735,0.0004040562],"genre_scores_gemma":[0.1248029,0.0004049724,0.8724017,0.00005633915,0.00006985291,0.0001109274,0.0002499104,0.0001034904,0.001799937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001411415,"threshold_uncertainty_score":0.005175233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380954252654095,"score_gpt":0.3050934738363945,"score_spread":0.2912839313098535,"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."}}