{"id":"W4392871975","doi":"10.1214/24-ejs2226","title":"A functional nonlinear mixed effects modeling framework for longitudinal functional responses","year":2024,"lang":"en","type":"article","venue":"Electronic Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health; Alberta Machine Intelligence Institute","keywords":"Mathematics; Nonlinear system; Mixed model; Applied mathematics; Functional response; Generalized linear mixed model; Econometrics; Statistics; Ecology","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":[0.01335966,0.001610363,0.001266524,0.001742674,0.0005911833,0.001493698,0.003529815,0.001832128,0.004079705],"category_scores_gemma":[0.01979847,0.0007340859,0.002473551,0.001464371,0.001394412,0.001886357,0.001801522,0.002595006,0.0007731852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309892,"about_ca_system_score_gemma":0.002369281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006965586,"about_ca_topic_score_gemma":0.007420224,"domain_scores_codex":[0.9953871,0.003281696,0.0001474424,0.0006788529,0.0003694289,0.0001354647],"domain_scores_gemma":[0.9937823,0.004667657,0.000462251,0.0005024828,0.000476329,0.0001089625],"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":[0.0001219078,0.0001078524,0.004407269,0.0003597298,0.0006199767,0.0003068818,0.0004015293,0.3003533,0.002812629,0.6088625,0.003535034,0.07811144],"study_design_scores_gemma":[0.00003141164,0.0001210272,0.0009994413,0.00006385148,0.0001366554,0.0001367575,0.00005194615,0.7894795,0.0005666339,0.2000357,0.008330159,0.00004701966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008043508,0.0001187859,0.9983709,0.0001705765,0.00002146514,0.00003190187,0.000154233,0.00006304547,0.0002646665],"genre_scores_gemma":[0.1155068,0.001053281,0.8756575,0.0004792945,0.0002619865,0.001653865,0.0008828855,0.0001843383,0.004320027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01335966,"threshold_uncertainty_score":0.0706535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961412931664702,"score_gpt":0.3757605998570907,"score_spread":0.3061464705404437,"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."}}