{"id":"W2991473311","doi":"10.1007/s11336-019-09691-4","title":"Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment","year":2019,"lang":"en","type":"article","venue":"Psychometrika","topic":"Mental Health Research Topics","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; Directorate for Social, Behavioral and Economic Sciences; National Natural Science Foundation of China","keywords":"Covariance; Goodness of fit; Bayesian probability; Factor analysis; Residual; Confirmatory factor analysis; Covariance matrix; Statistics; Econometrics; Mathematics; Multilevel model; Computer science; Structural equation modeling; Algorithm","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":[0.01568992,0.001133402,0.001624173,0.003249517,0.001606196,0.002075185,0.001385219,0.000983694,0.004937172],"category_scores_gemma":[0.06202484,0.0008100788,0.003498244,0.003967179,0.001230291,0.001443636,0.004400742,0.003128423,0.000767288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375634,"about_ca_system_score_gemma":0.001671188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007426674,"about_ca_topic_score_gemma":0.009265049,"domain_scores_codex":[0.9901111,0.007081877,0.0004350623,0.000980256,0.00115076,0.0002409978],"domain_scores_gemma":[0.9774719,0.0151653,0.001787171,0.002974824,0.002172201,0.0004286748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002940493,0.0003060158,0.03042305,0.0006334316,0.001861587,0.0005346853,0.003760984,0.1106623,0.003728975,0.2993644,0.00895224,0.5394783],"study_design_scores_gemma":[0.000101734,0.0001530895,0.008375132,0.0001634964,0.0001687666,0.0001506605,0.0003855619,0.6908814,0.001105073,0.289342,0.009056848,0.000116251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007230809,0.0002297968,0.9908071,0.0003171317,0.00003953739,0.0001079,0.0001585193,0.0003204226,0.0007887711],"genre_scores_gemma":[0.1513238,0.0002491927,0.8465155,0.0001088136,0.00005700562,0.0006646444,0.0003577712,0.0001811369,0.0005422088],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01568992,"threshold_uncertainty_score":0.08297724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05308020411736016,"score_gpt":0.4529522936258328,"score_spread":0.3998720895084726,"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."}}