{"id":"W4253985374","doi":"10.1002/9781119214656.ch6","title":"Multivariate Analysis","year":2018,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Estimator; Multivariate statistics; Mathematics; Affine transformation; Curse of dimensionality; Covariance matrix; Covariance; Dimensionality reduction; Principal component analysis; Identification (biology); Applied mathematics; Statistics; Computer science; Artificial intelligence; Pure 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005542474,0.0003561973,0.0009219909,0.0002224428,0.00005886683,0.00003548494,0.0001549203,0.0003203956,0.001879476],"category_scores_gemma":[0.002869212,0.000319346,0.00006098008,0.0003427149,0.0006476128,0.00005022412,0.0001346495,0.000234438,0.00001300578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005066655,"about_ca_system_score_gemma":0.00004697516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852753,"about_ca_topic_score_gemma":0.003766893,"domain_scores_codex":[0.998003,0.0002851903,0.0005350783,0.0006190172,0.0002172353,0.0003404513],"domain_scores_gemma":[0.9979988,0.000986558,0.000250963,0.0005653476,0.00007790592,0.0001204672],"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":[0.00006153792,0.0001405825,0.0003601519,0.0008479838,0.0003345097,0.00002146659,0.0003150424,0.000005585209,0.00000107766,0.9332418,0.05144245,0.01322781],"study_design_scores_gemma":[0.0002192524,0.00009511493,0.0001212544,0.0001783133,0.0004291249,0.000001932284,0.00002921461,0.001660588,0.000001659394,0.9362602,0.06065523,0.0003481468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001306874,0.0001670681,0.9400684,0.00002370669,0.0001743007,0.0004958043,0.002699758,0.0001085089,0.05624934],"genre_scores_gemma":[0.00003075109,0.000363514,0.8771989,0.0000208201,0.00007851135,0.00005141576,0.00008447589,0.0001541887,0.1220175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06576811,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06900187485137034,"score_gpt":0.3889161334992629,"score_spread":0.3199142586478926,"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."}}