{"id":"W4243967457","doi":"10.1515/iupac.79.1660","title":"Multivariate Statistics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multivariate statistics; Statistics; Multivariate analysis; 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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009103536,0.0006224621,0.001107284,0.0001451766,0.0001376342,0.00004886277,0.0004558965,0.0004394251,0.003286673],"category_scores_gemma":[0.01078265,0.0004422411,0.0001384173,0.0001119077,0.0002084002,0.00007673358,0.0002384082,0.0006465036,0.000003778123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465574,"about_ca_system_score_gemma":0.0004998292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004783382,"about_ca_topic_score_gemma":0.0002196396,"domain_scores_codex":[0.9963788,0.000263738,0.0008506164,0.0006803598,0.001174432,0.0006520232],"domain_scores_gemma":[0.9946991,0.002677853,0.0004963281,0.001083007,0.0007364801,0.0003072858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001169499,0.0002388121,1.127033e-7,0.0003570642,0.000110613,0.0001258136,0.0000100028,7.546481e-7,0.000007003705,0.01854838,0.960679,0.01980549],"study_design_scores_gemma":[0.0006466277,0.0001182974,7.5358e-7,0.000279881,0.0001607542,0.000006696383,0.000005188713,0.00004414947,0.000005498878,0.3640706,0.6342695,0.0003920709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.792405e-7,0.0000532231,0.4834221,0.00007064329,0.0004165455,0.00022279,0.5157366,0.0000539182,0.00002380501],"genre_scores_gemma":[2.173179e-7,0.0002454839,0.3291045,0.0001067853,0.0004765731,0.00001969315,0.6693006,0.00006750703,0.0006785922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3455222,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08313148119053249,"score_gpt":0.5452071593943602,"score_spread":0.4620756782038277,"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."}}