{"id":"W4389347402","doi":"10.1111/emip.12585","title":"Digital Module 34: Introduction to Multilevel Measurement Modeling","year":2023,"lang":"en","type":"article","venue":"Educational Measurement Issues and Practice","topic":"Mental Health Research Topics","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Structural equation modeling; Multilevel model; Computer science; Code (set theory); Latent variable; Process (computing); Data mining; Software engineering; Programming language; Artificial intelligence; Machine learning","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":[0.008192302,0.001032913,0.001049873,0.002366054,0.0005967552,0.002370733,0.002718792,0.001265862,0.2648159],"category_scores_gemma":[0.03672685,0.001646984,0.002291665,0.003219782,0.0005015482,0.00273433,0.002489928,0.003014383,0.125573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316046,"about_ca_system_score_gemma":0.002214252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261269,"about_ca_topic_score_gemma":0.00249484,"domain_scores_codex":[0.9960145,0.002133652,0.0003573996,0.0003815401,0.0009902486,0.0001226781],"domain_scores_gemma":[0.9841192,0.01036156,0.0005312773,0.001830733,0.002772261,0.0003848687],"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":[0.00005419242,0.0001184987,0.001147831,0.0009207024,0.00007866925,0.0000934648,0.0002877365,0.003589641,0.0008687341,0.04959067,0.641003,0.3022469],"study_design_scores_gemma":[0.000091799,0.0001133107,0.003803872,0.001138517,0.00004474549,0.0002422425,0.00008117612,0.01148427,0.001543509,0.07731537,0.9040373,0.0001039749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001512139,0.001546722,0.8427812,0.006359137,0.00106826,0.003742112,0.02901872,0.03627136,0.07770034],"genre_scores_gemma":[0.01735487,0.003476891,0.8608521,0.003242705,0.001442832,0.01115076,0.02194619,0.02162906,0.05890455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2648159,"threshold_uncertainty_score":0.8858973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3432883525820852,"score_gpt":0.4905485480493123,"score_spread":0.1472601954672271,"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."}}