{"id":"W7101072388","doi":"","title":"The canonical correlation analysis: a much-needed extension to the existing.","year":2008,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canonical correlation; Canonical analysis; Extension (predicate logic); Correspondence analysis; Scope (computer science); Correlation; Multivariate statistics; Latent variable; Canonical form","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005919703,0.00008020481,0.0001396057,0.00003135239,0.0007196835,0.00003014424,0.0001753507,0.00003698887,0.00009510172],"category_scores_gemma":[0.00286779,0.00003740686,0.00008599103,0.0006583629,0.00007612167,0.00001511019,0.00005299932,0.0001140738,0.0000889704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000224866,"about_ca_system_score_gemma":0.00002982583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000184545,"about_ca_topic_score_gemma":0.0003180801,"domain_scores_codex":[0.9990496,0.0001263823,0.0002676308,0.0001749748,0.000217079,0.000164332],"domain_scores_gemma":[0.9950154,0.004238578,0.00006349571,0.0004888409,0.0001150133,0.00007862898],"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":[0.00001263768,0.00004633264,0.0001492741,0.000001690012,0.00007857746,0.000001689948,0.0003788319,0.00006291831,0.0001011416,0.9570242,0.03503004,0.007112647],"study_design_scores_gemma":[0.0004814464,0.0001242996,0.05642145,0.00002134195,0.001309157,0.00005529715,0.002705894,0.1980659,0.0004534847,0.6482509,0.09161662,0.0004941724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.024624,0.00002319993,0.955953,0.00632136,0.00005606439,0.0003176923,0.000005886992,0.00006664678,0.01263216],"genre_scores_gemma":[0.6089964,0.00001330031,0.3830796,0.0008318277,0.0001030167,0.0001297537,0.00000413787,0.00001308541,0.006828866],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5843724,"threshold_uncertainty_score":0.5535297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2266050950140037,"score_gpt":0.4381970364598507,"score_spread":0.2115919414458469,"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."}}