{"id":"W2272703140","doi":"","title":"Generalized Estimating Equations and Gaussian Estimation in Longitudinal Data Analysis","year":2011,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Mathematics; Generalized estimating equation; Estimator; Estimating equations; Statistics; Gaussian; Autocorrelation; Regression analysis; Marginal model; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001294034,0.0001670853,0.0004440433,0.0004620707,0.0002542382,0.00002964066,0.0005228923,0.0001345382,0.0007936668],"category_scores_gemma":[0.001695426,0.0001908836,0.00007370084,0.0008819771,0.0001986078,0.0007010158,0.0004168945,0.0002463158,0.00001299223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005605878,"about_ca_system_score_gemma":0.00004748456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004543769,"about_ca_topic_score_gemma":0.001283223,"domain_scores_codex":[0.998372,0.0002966707,0.0003002846,0.0004884607,0.0002842391,0.0002583088],"domain_scores_gemma":[0.9980922,0.0006972119,0.0002684315,0.0007154458,0.00008445796,0.0001422161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002334013,0.0003678008,0.5984239,0.0002368902,0.0006339075,0.0001010948,0.005507031,0.00006510183,0.0004327004,0.3738577,0.00004976845,0.02009069],"study_design_scores_gemma":[0.000740513,0.00004896392,0.582802,0.00007975588,0.0007773392,0.000005473983,0.000355183,0.1248013,0.00006822524,0.2900732,0.000003984282,0.0002440063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.385445,0.0000179146,0.6135824,0.0000752559,0.00002861853,0.0001174927,0.00008515462,0.00002667142,0.0006214683],"genre_scores_gemma":[0.4705888,0.000002669427,0.5293058,0.000005987142,0.000006425757,2.92696e-7,0.00003718254,0.000006603495,0.00004615169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1247362,"threshold_uncertainty_score":0.8690095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976015824159803,"score_gpt":0.357996836305958,"score_spread":0.1603952538899776,"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."}}