{"id":"W4360882090","doi":"10.1108/ejm-02-2021-0099","title":"Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations","year":2023,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Employment and Social Development Canada; Memorial University of Newfoundland","funders":"","keywords":"Originality; Marketing research; Computer science; Partial least squares regression; Scale (ratio); Value (mathematics); Equivalence (formal languages); Marketing; Simple linear regression; Data science; Management science; Regression analysis; Mathematics; Sociology; Qualitative research; Machine learning; Social science; Engineering; Business","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":[0.1112978,0.001693946,0.001077825,0.003347016,0.003128796,0.0131065,0.003583243,0.004568085,0.00815127],"category_scores_gemma":[0.1937543,0.001000571,0.00160842,0.004044644,0.03782519,0.0176064,0.007970063,0.01068802,0.001866522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004688634,"about_ca_system_score_gemma":0.004653879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002118681,"about_ca_topic_score_gemma":0.001380519,"domain_scores_codex":[0.8876811,0.09143353,0.002413251,0.004006261,0.01377872,0.00068729],"domain_scores_gemma":[0.7598613,0.1996607,0.006809839,0.0219055,0.01093234,0.0008304151],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003993589,0.0000399052,0.0007894403,0.0004573184,0.00004987479,0.0001430968,0.00820814,0.001892382,0.0002701008,0.9337339,0.008974373,0.04540146],"study_design_scores_gemma":[0.00004100686,0.00007196071,0.0003754626,0.0008873808,0.00002345815,0.000198291,0.002726189,0.009299911,0.0008547122,0.8992997,0.08616976,0.00005219569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01081199,0.005849331,0.7896782,0.1266392,0.002581929,0.0004020828,0.000189047,0.001074948,0.06277329],"genre_scores_gemma":[0.374267,0.007154364,0.5853016,0.01538464,0.002156431,0.001865859,0.0001237496,0.0008786977,0.01286771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8887022,"threshold_uncertainty_score":0.5886062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09979455839693051,"score_gpt":0.2900952606362572,"score_spread":0.1903007022393267,"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."}}