{"id":"W1970823887","doi":"10.1002/cjs.10074","title":"Variability explained by covariates in linear mixed‐effect models for longitudinal data","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Statistics; Mathematics; Covariance; Outcome (game theory); Analysis of covariance; Contrast (vision); Covariance matrix; Econometrics; Summary statistics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.08539287,0.001608603,0.003096586,0.003622205,0.0008796293,0.002896807,0.003434464,0.002387358,0.001947428],"category_scores_gemma":[0.2044828,0.001293172,0.002883524,0.004265358,0.004769567,0.004679519,0.003191629,0.003147367,0.000470791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899181,"about_ca_system_score_gemma":0.00237125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005418076,"about_ca_topic_score_gemma":0.003523814,"domain_scores_codex":[0.9482096,0.04183199,0.001557714,0.004446737,0.003109932,0.0008440187],"domain_scores_gemma":[0.7042459,0.2678704,0.01098914,0.01240441,0.003788428,0.0007016173],"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":[0.0006977803,0.0001366402,0.03667966,0.0006002023,0.001950218,0.0008682063,0.0009198153,0.4692549,0.001490108,0.4009247,0.002846204,0.08363158],"study_design_scores_gemma":[0.00004825831,0.0001970499,0.005297479,0.0001190043,0.0001919291,0.00017195,0.00008022235,0.6882808,0.0007483834,0.3033518,0.001427196,0.00008592741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01528688,0.0005415981,0.9832004,0.000266118,0.00003985572,0.00004691997,0.0001495423,0.0002246277,0.0002440928],"genre_scores_gemma":[0.5526645,0.001594606,0.4407787,0.0004553168,0.000316467,0.0009347038,0.001022605,0.0002978734,0.001935328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08539287,"threshold_uncertainty_score":0.451606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123066533194525,"score_gpt":0.3588666776249898,"score_spread":0.2465600243055373,"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."}}