{"id":"W3210658443","doi":"10.32614/rj-2021-093","title":"mgee2: An R package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates","year":2021,"lang":"en","type":"article","venue":"The R Journal","topic":"Data Analysis with R","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Covariate; R package; Statistics; Ordinal data; Longitudinal data; Econometrics; Mathematics; Computer science; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01212248,0.002252536,0.002356245,0.003217482,0.0005489275,0.001936004,0.003124747,0.001054991,0.06372818],"category_scores_gemma":[0.08541012,0.001513793,0.003458256,0.003504108,0.0009408251,0.001927588,0.002830085,0.003312123,0.0170368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763049,"about_ca_system_score_gemma":0.00338916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316238,"about_ca_topic_score_gemma":0.005237624,"domain_scores_codex":[0.992542,0.004710289,0.0006124097,0.0008368636,0.001089578,0.0002087189],"domain_scores_gemma":[0.956332,0.03489685,0.002544668,0.004020078,0.001850348,0.0003560189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009273179,0.0002179519,0.01760348,0.004990533,0.003900535,0.0008386736,0.001038167,0.0177075,0.002836203,0.04535669,0.5660678,0.338515],"study_design_scores_gemma":[0.001060303,0.0004652862,0.0275525,0.000995464,0.001913547,0.00229748,0.0002436863,0.1422006,0.007649098,0.1849324,0.6302529,0.000436857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003487904,0.0005917057,0.9001633,0.00063128,0.0002437125,0.0007135451,0.04681028,0.04487676,0.002481578],"genre_scores_gemma":[0.03125601,0.0006146298,0.8987978,0.0007303738,0.0001996555,0.00589508,0.02339387,0.03446706,0.004645612],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06372818,"threshold_uncertainty_score":0.213192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07310279485164847,"score_gpt":0.325284774537262,"score_spread":0.2521819796856135,"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."}}