{"id":"W6989101572","doi":"","title":"Accounting for heterogeneity in the dependence mechanism of longitudinal data","year":2022,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cholesky decomposition; Covariance; Copula (linguistics); Covariance matrix; Univariate; Missing data; Longitudinal data; Bayesian probability; Random effects model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02844841,0.0009228609,0.001685386,0.002347807,0.0008133232,0.002558124,0.002632712,0.001669663,0.002218942],"category_scores_gemma":[0.07650691,0.0008995896,0.002704754,0.002734971,0.001417144,0.003499045,0.0027223,0.002607703,0.0004378404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507861,"about_ca_system_score_gemma":0.001968565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006738884,"about_ca_topic_score_gemma":0.004833603,"domain_scores_codex":[0.9875994,0.007429605,0.0007898575,0.002326826,0.001309292,0.000545018],"domain_scores_gemma":[0.9383506,0.04566702,0.005390339,0.008180197,0.001961834,0.0004500578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003435576,0.0002553274,0.12135,0.0004816063,0.001960466,0.001536211,0.001328683,0.4015437,0.004003919,0.2524748,0.003088986,0.2116327],"study_design_scores_gemma":[0.00004295716,0.0002307119,0.02423844,0.0001483632,0.0003062374,0.0003776451,0.0002995553,0.835205,0.001489514,0.13322,0.00434067,0.0001010376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05145714,0.0005903206,0.9456947,0.0004319055,0.00006820852,0.0001516075,0.0002933574,0.0002015945,0.001111282],"genre_scores_gemma":[0.8506399,0.001164289,0.1429501,0.0003283524,0.0001512873,0.0004823826,0.001015348,0.0001459933,0.003122383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02844841,"threshold_uncertainty_score":0.1504514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07359588572071296,"score_gpt":0.2453031634819803,"score_spread":0.1717072777612673,"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."}}