{"id":"W2946989286","doi":"10.1007/s41237-019-00085-5","title":"A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA","year":2019,"lang":"en","type":"article","venue":"Behaviormetrika","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Structural equation modeling; Path analysis (statistics); Computer science; Bridging (networking); Econometrics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001716572,0.0001615272,0.000540507,0.002237994,0.000117027,0.00009744045,0.0006518269,0.0001170261,0.00003604261],"category_scores_gemma":[0.000203933,0.0001392997,0.0001924156,0.004772638,0.0001074118,0.0003024728,0.0002404786,0.0003180062,0.000003928169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147798,"about_ca_system_score_gemma":0.0000436725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001603069,"about_ca_topic_score_gemma":0.000006728459,"domain_scores_codex":[0.9972486,0.0005341731,0.0004192276,0.0006199189,0.0008548273,0.0003232122],"domain_scores_gemma":[0.9976761,0.000990823,0.0001707664,0.0007449172,0.0003254537,0.00009192798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001830683,0.0003677298,0.2266694,0.00003947076,0.0004793942,0.00002284345,0.001164561,0.39331,0.1137843,0.04322961,0.00002502095,0.2207247],"study_design_scores_gemma":[0.0002651075,0.0002682285,0.0273346,0.00001605203,0.000168206,8.345312e-7,0.00003321066,0.9408641,0.03008584,0.0008035165,0.000003200863,0.0001571074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5124916,0.0000504346,0.4871296,0.00004049622,0.00001672821,0.0001463251,0.000003634067,0.00007128318,0.00004980051],"genre_scores_gemma":[0.823235,0.000003837834,0.1766585,0.00003568517,0.000008477283,0.00001129833,0.00002085933,0.000007112222,0.00001928248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5475541,"threshold_uncertainty_score":0.5680476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3321505942566969,"score_gpt":0.4802027912565942,"score_spread":0.1480521969998973,"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."}}