{"id":"W3183932977","doi":"10.1080/00273171.2021.1941729","title":"Copula-Based Redundancy Analysis","year":2021,"lang":"en","type":"article","venue":"Multivariate Behavioral Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Copula (linguistics); Computer science; Redundancy (engineering); Regression; Regression analysis; Econometrics; Bivariate analysis; Multivariate statistics; Statistics; Data mining; Machine learning; 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":[0.008909228,0.00226674,0.002376309,0.004699886,0.000857651,0.001527524,0.002041795,0.0007855574,0.003876952],"category_scores_gemma":[0.02966827,0.000591718,0.002426031,0.004451001,0.00111669,0.0023899,0.002139385,0.001526176,0.001229598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008623954,"about_ca_system_score_gemma":0.001758485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236763,"about_ca_topic_score_gemma":0.002009065,"domain_scores_codex":[0.9937314,0.003594472,0.0003390215,0.0009009288,0.001124118,0.0003100331],"domain_scores_gemma":[0.987254,0.006815762,0.001141693,0.002319038,0.002273015,0.0001964615],"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":[0.0002718148,0.0002077763,0.009076769,0.0009361681,0.00146525,0.000485703,0.0003957541,0.3752859,0.009522201,0.2027636,0.01001317,0.389576],"study_design_scores_gemma":[0.00002005977,0.0001232293,0.00367867,0.00005021847,0.0001304267,0.0001711397,0.00004663125,0.9254059,0.002072831,0.06347805,0.004746605,0.00007619362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008950109,0.0005907243,0.9886058,0.0001386011,0.00004502934,0.00006678028,0.0002654547,0.0003567062,0.0009808613],"genre_scores_gemma":[0.4085084,0.001915667,0.5824755,0.0002930453,0.0003370056,0.0005316044,0.00218401,0.000612698,0.003142081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008909228,"threshold_uncertainty_score":0.04711705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2776338551734261,"score_gpt":0.5132476847527523,"score_spread":0.2356138295793262,"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."}}