{"id":"W4414296644","doi":"10.1080/00273171.2025.2551373","title":"Regularized Cross-Sectional Network Modeling with Missing Data: A Comparison of Methods","year":2025,"lang":"en","type":"article","venue":"Multivariate Behavioral Research","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; McGill University","funders":"","keywords":"Missing data; Covariance; Graphical model; Covariance matrix; Estimation of covariance matrices; Lasso (programming language); Gaussian; Data modeling; Sample (material)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09408184,0.001532063,0.002483695,0.002289482,0.0009061313,0.002202738,0.004967557,0.002184855,0.003846616],"category_scores_gemma":[0.1656307,0.001253509,0.00379665,0.002260229,0.001391805,0.004822372,0.003698563,0.003687142,0.0007293236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723347,"about_ca_system_score_gemma":0.003157369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005960704,"about_ca_topic_score_gemma":0.004525941,"domain_scores_codex":[0.9338996,0.05946385,0.001541762,0.002709169,0.001944134,0.0004415025],"domain_scores_gemma":[0.7810923,0.1942437,0.005405799,0.01239519,0.005827875,0.001035162],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00384707,0.0008184407,0.02671066,0.002251893,0.005881171,0.00022093,0.00210458,0.4623591,0.0005795367,0.1344607,0.007147995,0.3536178],"study_design_scores_gemma":[0.000384525,0.0004176071,0.004150885,0.0005517457,0.0004423679,0.0001505469,0.0003090349,0.9126595,0.0004601144,0.0750706,0.005279154,0.0001240157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01889835,0.002491041,0.9752339,0.0008492863,0.000132952,0.0005842692,0.0003293726,0.0004047999,0.001076062],"genre_scores_gemma":[0.2351828,0.003442775,0.7543195,0.000537864,0.0002056571,0.003116832,0.001282219,0.0004397303,0.001472732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9059182,"threshold_uncertainty_score":0.4975583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7826204345838472,"score_gpt":0.7286777603513154,"score_spread":0.05394267423253185,"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."}}