{"id":"W1485448714","doi":"10.1002/9780470057339.vnn075","title":"Analysis of Variance, Multivariate ( <scp>MANOVA</scp> )","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multivariate analysis of variance; Statistics; Analysis of variance; Variance (accounting); Multivariate statistics; Multivariate analysis; Confidence interval; Random effects model; Mathematics; Set (abstract data type); Placebo; Repeated measures design; Econometrics; Medicine; Computer science; Meta-analysis; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005589182,0.0003305801,0.001212007,0.0004674154,0.00003932957,0.000008975036,0.0004358759,0.0004801663,0.01134391],"category_scores_gemma":[0.001521097,0.0001459919,0.0005380577,0.004312051,0.0001755242,0.00003960136,0.0001152461,0.000229646,0.00009894981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001686632,"about_ca_system_score_gemma":0.000005421263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005918958,"about_ca_topic_score_gemma":0.00009403838,"domain_scores_codex":[0.9977328,0.0002858667,0.0006465798,0.0004510943,0.0005101654,0.0003735178],"domain_scores_gemma":[0.9958293,0.002828817,0.0009043545,0.0002314357,0.00003192484,0.0001741778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002158926,0.002655892,0.1401348,0.0002574121,0.01111,0.00002431647,0.0002922473,0.0002710845,0.009451595,0.005826629,0.1452348,0.6847197],"study_design_scores_gemma":[0.00006537454,0.00006479891,0.2175548,0.00001363076,0.002387649,2.101711e-7,0.00003494721,0.0001163063,0.0000615208,0.00008275914,0.7794974,0.0001205804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005364017,0.003294325,0.003937602,0.00001279734,0.0002969617,0.0002484283,0.001648402,0.00005198548,0.9851455],"genre_scores_gemma":[0.01297271,0.007278062,0.03910638,0.00005169616,0.0009806587,0.00001791684,0.0008238701,0.00004228331,0.9387264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6845991,"threshold_uncertainty_score":0.9895598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392652336403519,"score_gpt":0.2562643222733116,"score_spread":0.2323377989092764,"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."}}