{"id":"W4309499037","doi":"10.1080/10705511.2022.2134140","title":"Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)","year":2022,"lang":"en","type":"article","venue":"Structural Equation Modeling A Multidisciplinary Journal","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Structural equation modeling; Partial least squares regression; Covariance; Mathematics; Null hypothesis; Zero (linguistics); Null (SQL); Econometrics; Applied mathematics; Statistics; Computer science; Data mining; Philosophy","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":[0.06680903,0.001716118,0.002384961,0.001767482,0.003705334,0.005253302,0.006174485,0.0202927,0.003557215],"category_scores_gemma":[0.1545463,0.001092896,0.002163365,0.002833571,0.02463127,0.01104802,0.005153554,0.05041289,0.003310621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006731248,"about_ca_system_score_gemma":0.006286565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032364,"about_ca_topic_score_gemma":0.007302453,"domain_scores_codex":[0.9552006,0.02010889,0.004526952,0.007096599,0.01183445,0.00123244],"domain_scores_gemma":[0.8412586,0.1276028,0.005094507,0.005951506,0.01883143,0.001261037],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009668327,0.00003851098,0.001438974,0.0002846705,0.00005273615,0.0001543782,0.003310488,0.000476718,0.0001844931,0.6990471,0.2746655,0.02024958],"study_design_scores_gemma":[0.0001369227,0.00009694709,0.003196429,0.001072472,0.00006721883,0.0004155738,0.001169659,0.003199358,0.001024877,0.6589125,0.3305093,0.0001985961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002463351,0.0095568,0.01854463,0.9522944,0.009634465,0.00004738104,0.0006042955,0.0001615291,0.006693154],"genre_scores_gemma":[0.11267,0.007695915,0.03833188,0.7968993,0.03472875,0.0009800348,0.0004085066,0.0003474361,0.007938203],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9331909,"threshold_uncertainty_score":0.3533241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4530253858465273,"score_gpt":0.4324932390906678,"score_spread":0.02053214675585951,"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."}}