{"id":"W2086168102","doi":"10.1002/cjs.10057","title":"Modified weights based generalized quasilikelihood inferences in incomplete longitudinal binary models","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Covariate; Statistics; Generalized estimating equation; Estimating equations; Regression; Regression analysis; Missing data; Correlation; Econometrics; Maximum likelihood","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108997,0.0002519412,0.0006446293,0.0005724804,0.0001357005,0.0001258757,0.0004618433,0.0001568363,0.0007127295],"category_scores_gemma":[0.002607715,0.000211726,0.00008742865,0.0002975851,0.0002513726,0.0001729622,0.00001603924,0.0007938792,0.000006701678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009524678,"about_ca_system_score_gemma":0.002107127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636276,"about_ca_topic_score_gemma":0.0620716,"domain_scores_codex":[0.9975022,0.0002681562,0.001130677,0.0002157794,0.00038936,0.0004938454],"domain_scores_gemma":[0.996074,0.001776737,0.0004957932,0.0003038392,0.0005460329,0.0008035601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000352427,0.00005638609,0.006918516,0.00006030787,0.00002448536,0.0006566576,0.0002261888,0.0001319727,0.0001262002,0.9824547,0.001841291,0.0074681],"study_design_scores_gemma":[0.000829379,0.0001834958,0.01277635,0.00009841652,0.00004586961,0.0000613713,0.00003795843,0.07035425,0.00004651348,0.9151464,0.000171697,0.0002483359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1089046,0.00003448297,0.8886154,0.000236192,0.0006101973,0.0001314639,0.0006280221,0.000006621197,0.0008329857],"genre_scores_gemma":[0.47139,0.000004002603,0.5284293,0.00005960743,0.00008126446,0.000002748337,0.000006269816,0.00001574223,0.00001096424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3624854,"threshold_uncertainty_score":0.9550431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08984505911184888,"score_gpt":0.327676079883797,"score_spread":0.2378310207719482,"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."}}