{"id":"W4414110945","doi":"10.1080/10705511.2025.2537946","title":"Regularized Structural Equation Modeling with Both Factors and Components","year":2025,"lang":"en","type":"article","venue":"Structural Equation Modeling A Multidisciplinary Journal","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University","funders":"","keywords":"Work (physics); Constraint (computer-aided design); Stability (learning theory); Estimation theory; Component (thermodynamics)","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":[0.007981163,0.001681128,0.001687506,0.001872817,0.00065748,0.001614024,0.002076041,0.001478362,0.002404257],"category_scores_gemma":[0.02123141,0.0008477333,0.002120733,0.003136651,0.001484939,0.001855071,0.002490521,0.002916683,0.0007596348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009289268,"about_ca_system_score_gemma":0.003114777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201184,"about_ca_topic_score_gemma":0.005950449,"domain_scores_codex":[0.9903984,0.00682864,0.0003038064,0.001312479,0.0009274868,0.0002291926],"domain_scores_gemma":[0.9916911,0.004864834,0.001015433,0.001346598,0.0009366796,0.0001453805],"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":[0.0001752319,0.0002312526,0.008920734,0.0003589513,0.001491837,0.0002154206,0.000796375,0.4421293,0.002697511,0.297348,0.007017602,0.2386177],"study_design_scores_gemma":[0.00002896524,0.00007213199,0.001108329,0.00005423487,0.00009990182,0.00004682991,0.00004177634,0.8962225,0.0005309641,0.09846333,0.003294789,0.00003620879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009079718,0.0001721016,0.9895329,0.0002342055,0.00002645839,0.00005747329,0.000172663,0.0002262373,0.000498148],"genre_scores_gemma":[0.2375927,0.0004615662,0.7570733,0.0002815742,0.0001027784,0.000707042,0.001426311,0.0001527866,0.002201939],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007981163,"threshold_uncertainty_score":0.04220897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276099914351777,"score_gpt":0.3190347548406018,"score_spread":0.2662737556970841,"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."}}