{"id":"W1910668730","doi":"10.3233/mas-2007-2102","title":"Tests for assessing vector correlation","year":2007,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Covariance matrix; Null distribution; Statistics; Scatter matrix; Nonparametric statistics; Multivariate normal distribution; Independence (probability theory); Multivariate statistics; Null (SQL); Correlation; Applied mathematics; Null hypothesis; Statistical hypothesis testing; Sequence (biology); Test statistic; Computer science; Biology","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":[0.03095622,0.002214321,0.002600645,0.0148769,0.001419027,0.00539513,0.003610096,0.002032086,0.006998925],"category_scores_gemma":[0.2541851,0.0005554619,0.002138807,0.01561093,0.004511122,0.006532023,0.004179502,0.003949989,0.001783452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148056,"about_ca_system_score_gemma":0.002618903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008106,"about_ca_topic_score_gemma":0.00058016,"domain_scores_codex":[0.9448164,0.03252639,0.003974407,0.004433196,0.01327773,0.0009719317],"domain_scores_gemma":[0.7417209,0.2060561,0.01538481,0.02009266,0.01482109,0.001924456],"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":[0.0005031561,0.0002136654,0.0485836,0.001055275,0.001924027,0.000412163,0.0009935072,0.02549893,0.002135785,0.4732473,0.01033303,0.4350996],"study_design_scores_gemma":[0.0001755141,0.001068292,0.02876806,0.0006671682,0.0004450228,0.001638374,0.001216376,0.1290154,0.003745401,0.807189,0.02560589,0.0004653378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02028369,0.001690064,0.9659354,0.0005494412,0.000306903,0.0004748974,0.001661856,0.0009758615,0.008121956],"genre_scores_gemma":[0.4478011,0.001428458,0.5399174,0.0005141563,0.0006420344,0.003034021,0.003455133,0.0005034803,0.00270419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03095622,"threshold_uncertainty_score":0.1637141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650113267374346,"score_gpt":0.4710376755326992,"score_spread":0.3060263487952646,"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."}}