{"id":"W2042209726","doi":"10.1198/jasa.2009.tm09124","title":"Linear Mixed-Effects Modeling by Parameter Cascading","year":2010,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Nuisance parameter; Smoothing; Mathematical optimization; Computation; Computer science; Maximization; Basis (linear algebra); Estimation theory; Simple (philosophy); Algorithm; Mathematics; Applied mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02403567,0.002479264,0.003163083,0.00207027,0.001183739,0.002147246,0.005022134,0.00251265,0.009599628],"category_scores_gemma":[0.05610071,0.001685316,0.004913225,0.003112043,0.001768562,0.003473887,0.004242546,0.005333695,0.002141513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494987,"about_ca_system_score_gemma":0.002011685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005272936,"about_ca_topic_score_gemma":0.00738426,"domain_scores_codex":[0.9746519,0.02048838,0.0005953034,0.002689754,0.001294117,0.0002804643],"domain_scores_gemma":[0.9664809,0.02737028,0.001072642,0.003491273,0.001345055,0.0002399234],"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":[0.000364419,0.0002053365,0.00333886,0.0006605031,0.001861896,0.0003322018,0.001003856,0.4808486,0.002507256,0.2917871,0.004950128,0.21214],"study_design_scores_gemma":[0.00004892222,0.00009522954,0.000454871,0.00004759927,0.000168467,0.00007339272,0.00004232041,0.8688589,0.0006964887,0.1245365,0.004918049,0.00005927984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001074754,0.00006985549,0.9981472,0.00006765585,0.00001573187,0.00006647369,0.00004860587,0.0002779146,0.0002318602],"genre_scores_gemma":[0.04274893,0.0001766521,0.9538771,0.0001116068,0.00004525791,0.000903377,0.0002444691,0.0003426534,0.001549977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02403567,"threshold_uncertainty_score":0.1271142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751645722147775,"score_gpt":0.3562588560518298,"score_spread":0.3287423988303521,"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."}}