{"id":"W2902759185","doi":"10.3389/fpsyg.2018.02461","title":"A Comparative Study on the Performance of GSCA and CSA in Parameter Recovery for Structural Equation Models With Ordinal Observed Variables","year":2018,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Structural equation modeling; Psychology; Ordinal data; Econometrics; Social psychology; Statistics; Cognitive psychology; Mathematics","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":[0.0724646,0.001639146,0.001500942,0.003470184,0.0008229552,0.002028243,0.001496844,0.001787953,0.001929054],"category_scores_gemma":[0.2555491,0.0005520694,0.001572151,0.003662991,0.001916062,0.005123394,0.002342023,0.002478471,0.0003198854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197446,"about_ca_system_score_gemma":0.003595008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015811,"about_ca_topic_score_gemma":0.01134652,"domain_scores_codex":[0.9503703,0.04268063,0.001693404,0.002392207,0.002339536,0.0005239106],"domain_scores_gemma":[0.6942717,0.2718631,0.00535362,0.01311975,0.01428542,0.001106404],"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":[0.004685636,0.001138772,0.06213882,0.001473668,0.002032765,0.0001991637,0.00285253,0.496446,0.00394081,0.03612651,0.002319684,0.3866458],"study_design_scores_gemma":[0.0003163503,0.002064883,0.0177356,0.0002624367,0.0003323205,0.0001507674,0.001059778,0.9618063,0.002346946,0.01211788,0.001662837,0.0001438869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.61354,0.003935368,0.3732526,0.001511219,0.0001858916,0.0008876192,0.0003958979,0.001035262,0.005256096],"genre_scores_gemma":[0.7927156,0.0008297511,0.2046929,0.0001527413,0.00003285478,0.0006475909,0.0003912793,0.0001167326,0.0004205108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0724646,"threshold_uncertainty_score":0.383234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07269327088056436,"score_gpt":0.3087366440143717,"score_spread":0.2360433731338074,"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."}}