{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02351586,0.00200672,0.002085217,0.005210411,0.002488476,0.006448741,0.002354418,0.001977457,0.009160473],"category_scores_gemma":[0.06169331,0.001169493,0.002801912,0.01039111,0.008760046,0.01118511,0.005308677,0.00757869,0.006128816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160871,"about_ca_system_score_gemma":0.004502452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00483498,"about_ca_topic_score_gemma":0.004454415,"domain_scores_codex":[0.9817515,0.01217441,0.001098376,0.001533132,0.00318057,0.0002620629],"domain_scores_gemma":[0.9625893,0.01769184,0.001181026,0.009984594,0.007818387,0.0007349256],"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":[0.00003044096,0.00006669378,0.002336969,0.0005715706,0.0001658811,0.0001817408,0.001046222,0.001739811,0.0003839433,0.6918463,0.06054451,0.2410859],"study_design_scores_gemma":[0.00002089244,0.00004958211,0.002441664,0.0004773893,0.00004263961,0.0004868189,0.000515975,0.01195015,0.0003319907,0.8111264,0.1724125,0.000143893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001176707,0.006766559,0.9653429,0.01263229,0.002577828,0.0002302025,0.000633562,0.0006054241,0.01003445],"genre_scores_gemma":[0.03283415,0.01264576,0.9393234,0.004014315,0.004062833,0.0009790844,0.0008244115,0.0006271179,0.00468895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02351586,"threshold_uncertainty_score":0.1243653,"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."}}