{"id":"W1984759262","doi":"10.1007/bf02294993","title":"Testing the Significance of the Successive Components in Redundancy Analysis","year":2002,"lang":"en","type":"article","venue":"Psychometrika","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Redundancy (engineering); Computer science; Statistics; Statistical analysis; Data mining; Mathematics; Econometrics","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":[0.03108255,0.001456074,0.001451103,0.005756223,0.001278233,0.001928372,0.001578953,0.001169914,0.001677722],"category_scores_gemma":[0.1932173,0.0004661888,0.001804549,0.003928955,0.004473531,0.003057981,0.002737016,0.001436066,0.0003816519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599151,"about_ca_system_score_gemma":0.001415116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000682576,"about_ca_topic_score_gemma":0.0003005055,"domain_scores_codex":[0.9631882,0.02312626,0.001968635,0.004028088,0.006725656,0.0009632628],"domain_scores_gemma":[0.7588202,0.2069729,0.008630483,0.0165095,0.007798475,0.001268495],"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":[0.004889864,0.001033498,0.2690264,0.002020837,0.004542118,0.003209895,0.009019054,0.02574712,0.07497001,0.09426875,0.001656716,0.5096158],"study_design_scores_gemma":[0.0004149272,0.008630131,0.3541949,0.0003644381,0.002316652,0.003953733,0.00366908,0.1993688,0.05078059,0.3701555,0.005584082,0.0005672161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5615343,0.000797832,0.4342514,0.0004376354,0.0001338864,0.000239222,0.0002355636,0.0002921374,0.002077996],"genre_scores_gemma":[0.926689,0.0002075678,0.0722448,0.00005579539,0.000109668,0.0001998405,0.0002833524,0.00004149376,0.0001683805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03108255,"threshold_uncertainty_score":0.1643822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3176957769194897,"score_gpt":0.4221924894649095,"score_spread":0.1044967125454198,"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."}}