{"id":"W4393987165","doi":"10.1111/jpim.12738","title":"Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Product Innovation Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Northumbria University","keywords":"Structural equation modeling; Robustness (evolution); Computer science; Workflow; Management science; Bridging (networking); Econometrics; Data science; Mathematics; Economics; Database","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":["metaresearch"],"category_scores_codex":[0.6818625,0.001881117,0.002155733,0.003327129,0.003965218,0.009012192,0.00458515,0.004311952,0.003796584],"category_scores_gemma":[0.8371557,0.001874543,0.007866879,0.005865074,0.009412931,0.00855112,0.006458626,0.005940838,0.000433647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005571262,"about_ca_system_score_gemma":0.00634568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004449998,"about_ca_topic_score_gemma":0.004438109,"domain_scores_codex":[0.1896272,0.7486945,0.02564066,0.01362331,0.02116341,0.00125095],"domain_scores_gemma":[0.02997676,0.9287539,0.01341507,0.02079353,0.006607642,0.0004532122],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02563225,0.004895939,0.4020889,0.01016974,0.03688063,0.001264875,0.06429461,0.04043907,0.005111882,0.139356,0.005839712,0.2640263],"study_design_scores_gemma":[0.01379947,0.02917756,0.1766009,0.01691954,0.03129153,0.001700253,0.02857017,0.380214,0.01830364,0.2741927,0.02687394,0.002356209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.511232,0.003457938,0.4641378,0.004978828,0.001127434,0.008442487,0.0005900098,0.0003192312,0.005714259],"genre_scores_gemma":[0.7520632,0.0004786437,0.2357499,0.001228651,0.0001658318,0.009480622,0.0002889411,0.0002507097,0.0002935057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3181375,"threshold_uncertainty_score":0.3923202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832797497279463,"score_gpt":0.4250887274310612,"score_spread":0.241808977703115,"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."}}