{"id":"W4385425611","doi":"10.3389/fnins.2023.1175690","title":"Multivariate analytical approaches for investigating brain-behavior relationships","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Mental Health Research Topics","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; Vanderbilt University; University of Pennsylvania; National Science Foundation; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; Children's Hospital of Philadelphia","keywords":"Psychopathology; Multivariate statistics; Partial least squares regression; Psychology; Univariate; Multivariate analysis; Canonical correlation; Partial correlation; Correlation; Cognition; Developmental psychology; Clinical psychology; Neuroscience; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001514845,0.00009933612,0.0001402085,0.0003457395,0.0002899306,0.00003932655,0.0003762471,0.000101723,0.000008838852],"category_scores_gemma":[0.002660691,0.0001004971,0.00003703483,0.001379257,0.0003533424,0.0001264112,0.00008598782,0.0005198689,0.00003226368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008172257,"about_ca_system_score_gemma":0.0000716909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002708907,"about_ca_topic_score_gemma":0.000004338614,"domain_scores_codex":[0.9978818,0.000352119,0.0002824338,0.0005305271,0.0002846307,0.0006685138],"domain_scores_gemma":[0.9989678,0.0004837703,0.00005979863,0.0002984215,0.00001775964,0.0001723963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000336837,0.0001464311,0.7996919,0.00007683228,0.000002531778,0.0001004498,0.002410502,0.0002408416,0.0004500747,0.02460597,0.1521619,0.02007888],"study_design_scores_gemma":[0.000514838,0.0001046432,0.7684012,0.00001356442,0.000003931044,0.000005823252,0.0008915127,0.2155056,0.00002831309,0.003333462,0.01106163,0.0001354685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897494,0.00005415687,0.03875832,0.05757164,0.006210617,0.00315129,0.00005233797,0.0003659664,0.004086266],"genre_scores_gemma":[0.9662042,0.000002528699,0.01764191,0.006624693,0.0001612685,0.001007821,0.00001835375,0.00003764324,0.008301581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2152648,"threshold_uncertainty_score":0.4098153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4750933114148297,"score_gpt":0.4674285332186146,"score_spread":0.007664778196215194,"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."}}