{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003901101,0.002580974,0.001962016,0.003949282,0.0007594881,0.003130977,0.003846971,0.001461241,0.1295812],"category_scores_gemma":[0.02505558,0.000665617,0.003060623,0.005857078,0.0004819522,0.001862942,0.00196882,0.002525287,0.1601129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233818,"about_ca_system_score_gemma":0.003003793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139733,"about_ca_topic_score_gemma":0.01337262,"domain_scores_codex":[0.9962884,0.0009551346,0.0005793897,0.001132074,0.0007578042,0.0002871912],"domain_scores_gemma":[0.9907727,0.003777723,0.0006027718,0.002822517,0.001683205,0.0003410038],"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":[0.0001705626,0.00005377776,0.002410379,0.0006799151,0.0001295356,0.00003045772,0.00001970508,0.0008745294,0.00006542934,0.000957241,0.9723428,0.02226562],"study_design_scores_gemma":[0.0006601891,0.00009631306,0.006561304,0.0005590503,0.0001436671,0.0001954897,0.0001024597,0.003343086,0.0004594983,0.00930573,0.9784976,0.00007559027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004079402,0.0001904751,0.001708548,0.0001562341,0.0001111393,0.00008002909,0.993834,0.001955363,0.001556303],"genre_scores_gemma":[0.001966266,0.0002299852,0.004668771,0.0001700204,0.0000573305,0.0005925623,0.9895476,0.0003987642,0.002368662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1295812,"threshold_uncertainty_score":0.4334924,"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."}}